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• Privacy-preserving attribute-based access control using homomorphic encryption
  Abstract Authentication and access control for Cyber-Physical Systems (CPSs) are pivotal for protecting systems and their users from problems related to harmful actions and the malicious use of retrieved data. In some situations, making access decisions requir…
  crossref Malte Kerl, Ulf Bodin, Olov Schelén 2025-01-21T20:02:51Z 置信度 0.70
• Homomorphic Encryption for Secure Federated Learning: A Narrative Survey
  Federated learning enables collaborative model training without data centralization but remains vulnerable to information leakage, model manipulation, and aggregation attacks. This narrative review analyses security challenges through the confidentiality, inte…
  crossref Dinko Dinkov 2026-04-08T06:19:08Z 置信度 0.70
• Secure Multi-Tenant Cloud Storage with Homomorphic Encryption
  Abstract: Multi-tenant cloud environments present significant security challenges, particularly when handling sensitive data for diverse clients. This study proposes a secure storage architecture utilizing homomorphic encryption (HE) to allow computations on e…
  crossref Murali Krishna Pasupuleti 2025-06-28T11:49:13Z 置信度 0.70
• Financial Data Sharing Based on Cloud Computing Security: the Application and Effectiveness of Homomorphic Encryption Technology
  crossref Ruiqi Rao 2025-05-21T17:37:17Z 置信度 0.70
• Secure Healthcare Data Processing using Homomorphic Encryption
  crossref Pavithra H. B., K. S. Shivaprakasha, Ganesh V. Bhat 2025-06-18T13:35:30Z 置信度 0.70
• Credit Card Fraud Detection Using Homomorphic Encryption Based On Unsupervised Anomaly Detection Network
  crossref Vasanthan Athiththan, Yasotha Ram Ramanan 2025-06-13T17:49:03Z 置信度 0.70
• Hybrid Privacy-Preserving Model Using Homomorphic Encryption for Secure Multi-Tenant Cloud Analytics
  crossref Devendra Singh Mohan, Varun Bansal, Anil Kumar 2025-12-05T18:36:19Z 置信度 0.70
• Enhancing the data security of digital records in archives through homomorphic encryption protocol
  crossref Hua Cui 2025-11-22T12:30:34Z 置信度 0.70
• Research on Hybrid Encryption Schemes for Judicial Blockchain: Policy-Enhanced Attribute-Based Encryption and Homomorphic Encryption
  crossref Peng Wang, Guofeng Zhang, Yue Wang 2026-08-06T01:04:09Z 置信度 0.70
• Secure & private banking: Homomorphic encryption with smart data masking
  crossref Prem Anand Rathina Sabapathy, Darshan M. Sri 2025-11-10T17:08:18Z 置信度 0.70
• Enhancing IoT Security with Homomorphic Encryption and Privacy Preserving Document Search Using Microsoft SEAL
  crossref Mihrije Kadriu, Bujar Krasniqi, Blerim Rexha 2025-10-30T17:57:24Z 置信度 0.70
• Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives
  Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Since Shor’s algorithm rendered prime factorisation and discrete logarithm-based ciphers insecure with quantum computations, researche…
  crossref Siddhartha Siddhiprada Bhoi, Arathi Arakala, Amy Beth Corman, Asha Rao 2025-05-12T09:13:38Z 置信度 0.70
• Privacy-Preserving Threat Intelligence Sharing in Smart Cities Using Homomorphic Encryption and Federated Analytics
  crossref Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula 2025-12-22T18:40:15Z 置信度 0.70
• HOMOMORPHIC ENCRYPTION: AN OVERVIEW
  The tendency of having accessibility to information anytime and anywhere has contributed to individuals or organizations shifting from the storage of information to Internet-based cloud services. This shift has made data more vulnerable as data in the cloud ca…
  crossref Solomon Sarpong, Samuel Opuni-Basoa, Kwaafo Akoto Awuah-Mensah 2025-10-14T04:57:30Z 置信度 0.70
• Quantum Federated Learning: Architectural Elements and Future Directions
  Federated learning (FL) focuses on collaborative model training without the need to move the private data silos to a central server. Despite its several benefits, the classical FL is plagued with several limitations, such as high computational power required f…
  datacite Sai, Siva, Sawaika, Abhishek, Singh, Prabhjot, Buyya, Rajkumar 2025 置信度 0.66 Quantum Physics (quant-ph)Distributed, Parallel, and Cluster Computing (cs.DC)Machine Learning (cs.LG)FOS: Physical sciencesFOS: Computer and information sciences
• Confidential Computing and Trusted Execution Environments: A Survey of Technologies
  Conventional security controls protect data at rest through storage encryption and data in transit through transport encryption, yet data in use, meaning plaintext held in memory and registers during computation, has remained exposed to any sufficiently privil…
  datacite Dr. R. Pugazhenthi 2026 置信度 0.66
• Confidential Computing and Trusted Execution Environments: A Survey of Technologies
  Conventional security controls protect data at rest through storage encryption and data in transit through transport encryption, yet data in use, meaning plaintext held in memory and registers during computation, has remained exposed to any sufficiently privil…
  datacite Dr. R. Pugazhenthi 2026 置信度 0.66
• Trusted execution environments : applications and organizational challenges
  A lack of trust in the providers is still a major barrier to cloud computing adoption – especially when sensitive data is involved. While current privacy-enhancing technologies, such as homomorphic encryption, can increase security, they come with a considerab…
  datacite Geppert, Tim, Deml, Stefan, Sturzenegger, David, Ebert, Nico 2022 置信度 0.66 Cloud computingConfidential computingSGXTrusted execution environment005: Computerprogrammierung, Programme und Daten
• Federated Learning for Privacy-Preserving Healthcare: Balancing Artificial Intelligence and Security in a Data-Driven Era
  The integration of artificial intelligence (AI) into healthcare has transformed diagnostic practices, predictive modelling, and personalized treatment strategies. However, the exponential growth of sensitive patient data has raised significant challenges conce…
  datacite Kumar, Akhilesh 2022 置信度 0.66 Federated LearningPrivacy-Preserving HealthcareArtificial IntelligenceCybersecuritySecure Aggregation
• Federated Learning for Privacy-Preserving Healthcare: Balancing Artificial Intelligence and Security in a Data-Driven Era
  The integration of artificial intelligence (AI) into healthcare has transformed diagnostic practices, predictive modelling, and personalized treatment strategies. However, the exponential growth of sensitive patient data has raised significant challenges conce…
  datacite Kumar, Akhilesh 2022 置信度 0.66 Federated LearningPrivacy-Preserving HealthcareArtificial IntelligenceCybersecuritySecure Aggregation
• <b>Security Challenges in Large Language Models Across the Data Life Cycle: </b><b>A Cryptography-Aware Comprehensive Review</b>
  Large Language Models (LLMs) are now embedded in security and privacy critical applications, yet they remain vulnerable to attacks that span their entire data life cycle. This survey provides a comprehensive, cryptography-aware review of these risks across thr…
  datacite sepehr Noroozi Chakoli, Seyed Ali Etrati, Seyed Mohammad Etrati, Hamid Haj Seyyed Javadi 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedArtificial life and complex adaptive systems
• <b>Security Challenges in Large Language Models Across the Data Life Cycle: </b><b>A Cryptography-Aware Comprehensive Review</b>
  Large Language Models (LLMs) are now embedded in security and privacy critical applications, yet they remain vulnerable to attacks that span their entire data life cycle. This survey provides a comprehensive, cryptography-aware review of these risks across thr…
  datacite sepehr Noroozi Chakoli, Seyed Ali Etrati, Seyed Mohammad Etrati, Hamid Haj Seyyed Javadi 2026 置信度 0.66 Artificial intelligence not elsewhere classifiedArtificial life and complex adaptive systems
• Humans First: From Threats to PETs in Human-Machine Interaction
  Modern Human-Machine Interaction (HMI) systems increasingly rely on intimate physiological, behavioral, and cognitive data to enable adaptive interaction between humans and machines. While this opens transformative possibilities across domains such as healthca…
  datacite Bergermann, Justus 2026 置信度 0.66 Human–Machine Interaction (HMI)Brain-Computer Interfaces (BCI)PrivacySecuritySafety
• Humans First: From Threats to PETs in Human-Machine Interaction
  Modern Human-Machine Interaction (HMI) systems increasingly rely on intimate physiological, behavioral, and cognitive data to enable adaptive interaction between humans and machines. While this opens transformative possibilities across domains such as healthca…
  datacite Bergermann, Justus 2026 置信度 0.66 Human–Machine Interaction (HMI)Brain-Computer Interfaces (BCI)PrivacySecuritySafety
• Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms
  The need for secure and private Artificial Intelligence (AI) and Machine Learning (ML) on edge and mobile devices has increased the necessity of protecting the architecture of these systems from threats to both security and privacy. With an ever-increasing num…
  datacite Tsiatsikas, Zisis, Fakis, Alexandros, Karopoulos, Georgios, Kouliaridis, Vasileios 等 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Federated Correction of Batch Effects &amp; Heterogeneity in Single-cell and Multi-omics Genomics (privacy-preserving)
  The rapid proliferation of genomic data from large‑scale sequencing initiatives presents unprecedented opportunities for precision medicine, population genomics and biotechnology. However, the sensitive nature of genomic information—uniquely identifying, immut…
  datacite Mohamed Sikkander, Dr Abdul Razak, Rodrigues , Joel J. P. C., Meena, Manoharan , Abuelmakarem, Hala S. 2026 置信度 0.66 genomic data securityartificial intelligencefederated learninghomomorphic encryptiondifferential privacy
• mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
  We present mmFHE, the first system that enables fully homomorphic encryption (FHE) for end-to-end mmWave radar sensing. mmFHE encrypts raw range profiles on a lightweight edge device and executes the entire mmWave signal-processing and ML inference pipeline ho…
  datacite Ahmed, Tanvir, Gao, Yixuan, Armouti, Adnan, Nandakumar, Rajalakshmi 2026 置信度 0.66 Cryptography and Security (cs.CR)Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciences
• A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
  The advancement of biometric technology has facilitated wide applications of biometrics in law enforcement, border control, healthcare and financial identification and verification. Given the peculiarity of biometric features (e.g., unchangeability, permanence…
  datacite Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui 等 2023 置信度 0.66 Electrical engineeringElectronics, sensors and digital hardwareInformation and computing sciencesCybersecurity and privacyDistributed computing and systems software
• A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
  The advancement of biometric technology has facilitated wide applications of biometrics in law enforcement, border control, healthcare and financial identification and verification. Given the peculiarity of biometric features (e.g., unchangeability, permanence…
  datacite Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui 等 2023 置信度 0.66 Electrical engineeringElectronics, sensors and digital hardwareInformation and computing sciencesCybersecurity and privacyDistributed computing and systems software
• Protocol of the Post-Quantum Cryptography (PQC) Breaking via 165-Dimensional Tensor of the Hamzah Equation.(Theory Only non-Invasive Purpose)
  Breaking Post-Quantum Cryptography (PQC) اَبَر-لاگرانژیِ تکینگیِ تانسوری برای انحلال PQC $$\mathcal{L}_{Intelligence}^{(165)} = \int_{\mathcal{V}_{165}} \left[ \underbrace{\mathcal{Q}_{H} \left( \mathbb{D}_{\alpha\beta}^{\gamma} \cdot \frac{\partial \mathcal{I…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• Protocol of the Post-Quantum Cryptography (PQC) Breaking via 165-Dimensional Tensor of the Hamzah Equation.(Theory Only non-Invasive Purpose)
  Breaking Post-Quantum Cryptography (PQC) اَبَر-لاگرانژیِ تکینگیِ تانسوری برای انحلال PQC $$\mathcal{L}_{Intelligence}^{(165)} = \int_{\mathcal{V}_{165}} \left[ \underbrace{\mathcal{Q}_{H} \left( \mathbb{D}_{\alpha\beta}^{\gamma} \cdot \frac{\partial \mathcal{I…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• Data Extraction Dataset for a Systematic Literature Review on Machine Learning in Encrypted Data and Homomorphic Encryption
  This is the data extraction dataset for a systematic literature review on machine learning in encrypted data and homomorphic encryption study.
  datacite sen, utku faruk 2026 置信度 0.66 CryptographyMachine Learning
• Data Extraction Dataset for a Systematic Literature Review on Machine Learning in Encrypted Data and Homomorphic Encryption
  This is the data extraction dataset for a systematic literature review on machine learning in encrypted data and homomorphic encryption study.
  datacite sen, utku faruk 2026 置信度 0.66 CryptographyMachine Learning
• Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache
  Generative large language models (LLMs) have revolutionized multiple domains. Modern LLMs predominantly rely on an autoregressive decoding strategy, which generates output tokens sequentially and employs a key-value cache (KV cache) to avoid redundant computat…
  datacite Yu, Ye, Zhou, Yifan, Chen, Yi, Soto, Pedro 等 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• On the Feasibility of Hybrid Homomorphic Encryption for Intelligent Transportation Systems
  Many Intelligent Transportation Systems (ITS) applications require strong privacy guarantees for both users and their data. Homomorphic encryption (HE) enables computation directly on encrypted messages and thus offers a compelling approach to privacy-preservi…
  datacite Yates, Kyle, Mamun, Abdullah Al, Chowdhury, Mashrur 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Cryptographically Enforced Relay-Resistant Offline Payment System Using Algorithmic Logic Fingerprinting and Split Execution Architecture for Digital Euro and CBDC Systems
  Abstract This paper ( Patent pending concept ) presents a novel cryptographic framework for securing offline digital currency payment systems, including Central Bank Digital Currencies (CBDCs) such as the Digital Euro, against relay and replay attacks. The arc…
  datacite Das, Sangam 2026 置信度 0.66 digital currenciescbdcdigital eurocash like privacystable coins
• Towards Secure and Privacy-Preserving Query Processing for Encrypted Big Data in Multi-Cloud Environments: A Systematic Review
  The rapid growth of cloud computing and big data analytics has intensified concerns over privacy when sensitive data are outsourced to third-party cloud providers. Traditional encryption techniques protect data confidentiality but significantly limit the abili…
  datacite Abdullahi, Ibrahim Rashid 2026 置信度 0.66 Privacy-preserving query processingEncrypted big datamulti-cloud securityHomomorphic encryption and Secure multi-party computation
• Towards Secure and Privacy-Preserving Query Processing for Encrypted Big Data in Multi-Cloud Environments: A Systematic Review
  The rapid growth of cloud computing and big data analytics has intensified concerns over privacy when sensitive data are outsourced to third-party cloud providers. Traditional encryption techniques protect data confidentiality but significantly limit the abili…
  datacite Abdullahi, Ibrahim Rashid 2026 置信度 0.66 Privacy-preserving query processingEncrypted big datamulti-cloud securityHomomorphic encryption and Secure multi-party computation
• Survey of Privacy Preserving Techniques for Distributed Learning in an IoT Network
  This survey provides a comprehensive review of privacy-preserving techniques applicable to distributed learning in Internet-of-Things (IoT) environments. The paper examines classical approaches, including Differential Privacy, Homomorphic Encryption, Secure Mu…
  datacite Cartmell, John 2026 置信度 0.66 Internet of ThingsDistributed LearningPrivacy PreservationSurveys
• Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
  Privacy-preserving data processing refers to the methods and models that allow computing and analyzing sensitive data with a guarantee of confidentiality. As cloud computing and applications that rely on data continue to expand, there is an increasing need to …
  datacite Sarraf, Gaurav, Pal, Vibhor 2026 置信度 0.66 Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Secure Semantic Communication With Homomorphic Encryption
  In recent years, Semantic Communication (SemCom), which aims to achieve efficient and reliable transmission of meaning between agents, has garnered significant attention from both academia and industry. To ensure the security of communication systems, encrypti…
  datacite Meng, Rui, Fan, Dayu, Gao, Haixiao, Yuan, Yifan 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• Homomorphic Encryption in Edge AI Systems: A PRISMA-Based Scoping Review
  This project contains a scoping review on homomorphic encryption (HE) in artificial intelligence systems, with a focus on healthcare and edge-deployed architectures. It follows PRISMA-ScR guidelines and emphasizes the application and customization of CKKS, BFV…
  datacite Yanez, Penelope 2026 置信度 0.66 Computer EngineeringMedicine and Health SciencesEngineeringCKKSPRISMA
• Cloud Architecture in Pharma: Meeting the Dual Mandate of Innovation and Compliance
  Pharmaceutical organizations face unprecedented challenges in balancing technological innovation with stringent regulatory compliance requirements across global markets. This technical review explores comprehensive cloud architecture strategies that enable pha…
  datacite Harish Archana Naidu Nagapoosanam 2025 置信度 0.66
• Cloud Architecture in Pharma: Meeting the Dual Mandate of Innovation and Compliance
  Pharmaceutical organizations face unprecedented challenges in balancing technological innovation with stringent regulatory compliance requirements across global markets. This technical review explores comprehensive cloud architecture strategies that enable pha…
  datacite Harish Archana Naidu Nagapoosanam 2025 置信度 0.66
• "Strengthening Data Privacy and Security for Internet of Vehicles using Federated Learning and Artificial Intelligence: A SLR"
  "Federated Learning in the Internet of Vehicles space plays a crucial role in enabling intelligent, privacy-preserving, and distributed data processing. Here, AI models rely heavily on large-scale vehicle data for training and accuracy. While much of the exist…
  datacite Angela Miller, Vivek Aswal, Hersh Naroliwalla, Tomas Cerny 等 2025 置信度 0.66
• Beyond Data Protection to Command and Control (C2) Sustainability in a Post-COVID19 World: Execution of U.S. Data Protection Act for U.S. Data Protection Agency; U.S. Data Protection Act Proposal by US Senator for New York Kirsten Gillibrand
  preprints 2020 置信度 0.74
• Trustless Approaches to Digital Infrastructure in the Crisis of COVID-19: Australia's Newest COVID App, Home-Grown Surveillance Technologies and What to Do About It
  preprints 2020 置信度 0.74
• Construction of evolutionary stability and signal game model for privacy protection in the internet of things.
  europepmc 2025 置信度 0.80
• Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm.
  europepmc 2025 置信度 0.80
• Homomorphic Encryption for Cloud Data Security: A Comprehensive Review
  The Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) intersected in the realm of industry, transforming the industrial system to allow making real-time decisions at the edge. Latency issues, bandwidth consumption, and data security also po…
  crossref Venkateswaran Radhakrishnan, Praveen Kumar C 2025-10-25T07:18:48Z 置信度 0.70
• Homomorphic encryption security - a review
  As the Data and Technology is increasing exponentially the security and privacy issues are becoming a major concern in the present scenario, lot of security mechanisms are in to real time and practice, but even there are some bottlenecks with the existing secu…
  crossref J. Phani Prasad, B. Seetha Ramulu, E. Amarnatha Reddy 2019-07-14T21:41:22Z 置信度 0.70
• Homomorphic Encryption Methods Review
  crossref Nikolay N. Kucherov, Maxim A. Deryabin, Mikhail G. Babenko 2020-03-20T04:04:12Z 置信度 0.70
• Homomorphic encryption systems statement: Trends and challenges
  crossref Bechir Alaya, Lamri Laouamer, Nihel Msilini 2020-04-24T22:55:57Z 置信度 0.70
• On Demand Secure Scalable Video Streaming for Both Human and Machine Applications.
  europepmc 2026 置信度 0.80
• Addressing Bias, Privacy, Security, and Patient Autonomy in Artificial Intelligence (AI)-Driven Healthcare: A Review of Current Guidelines.
  europepmc 2026 置信度 0.80
• Lightweight semantic compression visual cryptography for secure medical image transmission in IoT systems.
  europepmc 2025 置信度 0.80
• Fiat-Shamir for Bounded-Depth Adversaries
  We study how to construct hash functions that can securely instantiate the Fiat-Shamir transformation against bounded-depth adversaries. The motivation is twofold. First, given the recent fruitful line of research of constructing cryptographic primitives again…
  datacite Chen, Liyan, Chen, Yilei, Huang, Zikuan, Sun, Nuozhou 等 2026 置信度 0.66 Fiat-ShamirCorrelation IntractabilitySecurity and privacy → Hash functions and message authentication codes
• Latency-Optimal Adaptive Split Inference for Privacy-Preserving Cloud-Edge-End Collaboration
  Internet of Things (IoT) end devices are increasingly expected to support privacy-sensitive batch inference, yet their limited computational resources often make full local execution of convolutional neural networks impractical. This paper presents a latency-o…
  datacite Li, Yi, Zhang, Peng, Au, Man Ho 2026 置信度 0.66 Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesC.2.4; E.3; I.2.6
• Co-Design of Cryptographic Parameters and Delay-Aware Feedback Gain for Encrypted Control Systems
  Encrypted control employs homomorphic encryption (HE) to protect both the computation and communication stages, making it a promising approach for secure networked control systems. Most existing results pre-design a controller in the plaintext domain and then …
  datacite Jang, Yeongjun 2026 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineering
• Reliable Homomorphic Matching for Fuzzy Labeled PSI at Scale
  Fuzzy Labeled Private Set Intersection (FLPSI) lets a receiver learn the labels of enrolled records similar to its query, and nothing else. Constructions based on a set-threshold reduction reach practical performance: a query matches a record when the two agre…
  datacite Uzun, Erkam 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• Arbitrary Reduction of Validation Error for AI Decision Tests using Homomorphic AI and Repetition Codes
  This paper presents new results and breakthrough obtained with the HbHAI techniques (Hash-based Homomorphic Artificial Intelligence) proposed in \cite{filiol0,sepp}. HbHAI is based on a novel class of key-dependent hash functions that naturally preserve most s…
  datacite Filiol, Eric, Sepp, Jaagup 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems
  Existing homomorphic encryption (HE)-based GNN systems adopt a graph-centric paradigm that couples per-query cost to global graph size, limiting evaluations to at most ~20k nodes and making them incompatible with dynamic, large-scale financial graphs. We propo…
  datacite Le, Ngoc Bao Anh, Vu, Thai T., Le, John, Cooper, Heath 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesI.2.6; E.3; C.2.4
• Unified Resonance Field Geography Theory, or Prime Field Theory-as Proposed In Quantum Bridges May, 2025
  The 137–143 Mass Gap: Consolidated Evidence Document (v7.8) Author: Timothy William Edgin, CISSPOrganization: Polyadmin Inc., Houston, TexasDate: June 22, 2026DOI: 10.5281/zenodo.20043510Zenodo: https://zenodo.org/records/20043510Repository: https://github.com…
  datacite Edgin, Timothy 2026 置信度 0.66
• Practical Anonymous Two-Party Gradient Boosting Decision Tree
  Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High speed and interpretability make GBDTs popular in finance and healthcare, where neu…
  datacite Huang, Chenyu, Zhang, Fan, Du, Minxin, Chow, Sherman S. M. 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• FEnc$^2$: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragment Encoding
  Fully Homomorphic Encryption (FHE) enables privacy-preserving machine learning but incurs extreme computational and memory overhead. These costs come not only from expensive low-level primitives, including Number Theoretic Transform (NTT), rotation, and key-sw…
  datacite Ran, Ran, Gong, Zhaoting, Xu, Nuo, Xu, Yuanchao 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• ga_engine: Clifford FHE and Geometric Neural Networks
  A Rust geometric algebra engine featuring Clifford FHE — an RLWE/CKKS-based fully homomorphic encryption scheme with native support for Clifford algebra operations — and geometric neural networks that operate directly on encrypted multivectors for privacy-pres…
  datacite Silva, David William 2026 置信度 0.66 geometric algebraClifford algebrafully homomorphic encryptionCKKSprivacy-preserving machine learning
• ga_engine: Clifford FHE and Geometric Neural Networks
  A Rust geometric algebra engine featuring Clifford FHE — an RLWE/CKKS-based fully homomorphic encryption scheme with native support for Clifford algebra operations — and geometric neural networks that operate directly on encrypted multivectors for privacy-pres…
  datacite Silva, David William 2026 置信度 0.66 geometric algebraClifford algebrafully homomorphic encryptionCKKSprivacy-preserving machine learning
• GLuckDeity/Algorapolis: v0.1.0 — Genesis
  Algorapolis v0.1.0 — Genesis First public release of the Algorapolis Civilization Architecture Framework. What's Included Complete specification document (Parts I–XIII, Sections 1–77) Ten-layer civilization stack architecture Sovereign Logic Engine design with…
  datacite GLuckDeity 2026 置信度 0.66
• GLuckDeity/Algorapolis: v0.1.0 — Genesis
  Algorapolis v0.1.0 — Genesis First public release of the Algorapolis Civilization Architecture Framework. What's Included Complete specification document (Parts I–XIII, Sections 1–77) Ten-layer civilization stack architecture Sovereign Logic Engine design with…
  datacite GLuckDeity 2026 置信度 0.66
• TEMPORAL ROTATION SECURITY PROTOCOL (TRSP) Physics-First Cryptographic Architecture: Time as the Fundamental Security Parameter
  ABSTRACT: Temporal Rotation Security Protocol (TRSP) v3 — Physics-First Cryptographic Architecture: Time as the Fundamental Quantum-Resistant Security Parameter Concept in development since at least November 2019. First complete public documentation: 2026. Ver…
  datacite Mehmetaj, Ilir 2026 置信度 0.66 temporal rotation cryptographyphysics-first security architecturequantum-resistant key rotationtime-based cryptographic protocolCRATON foundational trust layer
• Sensor Attack Detection Method for Encrypted State Observers
  This paper proposes an encrypted state observer that is capable of detecting sensor attacks without decryption. We first design a state observer that operates over a finite field of integers with the modular arithmetic. The observer generates a residue signal …
  datacite Jang, Yeongjun, Lee, Sangwon, Kim, Junsoo 2025 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• On the (non-)resilience of encrypted controllers to covert attacks
  The security of networked control systems (NCS) is receiving increasing attention from both cyber-security and system-theoretic perspectives. The former focuses on classical IT security goals such as confidentiality, integrity, and availability of process data…
  datacite Binfet, Philipp, Adamek, Janis, Darup, Moritz Schulze 2026 置信度 0.66 Cryptography and Security (cs.CR)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
• DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning
  Federated learning enables collaborative model training across distributed clients, yet vanilla FL exposes client updates to the central server. Secure-aggregation schemes protect privacy against an honest-but-curious server, but existing approaches often suff…
  datacite Mehmood, Haaris, Tatsis, Giorgos, Alexopoulos, Dimitrios, Saravanan, Karthikeyan 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
  The use of Machine Learning (ML) for data-driven decision-making often relies on access to sensitive datasets, which introduces privacy challenges. Traditional encryption methods protect data at rest or in transit but fail to secure it during processing, expos…
  datacite Marques, Alexandre, Sá, Beatriz, Botelho, Rui, Pinto, Pedro 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciencesE.3
• Privacy-Preserving Distributed Stochastic Optimization with Homomorphic Encryption and Heterogeneous Stepsizes
  Distributed stochastic optimization enables multi-agent collaboration in applications such as distributed learning and sensor networks, but also raises critical privacy concerns due to the involvement of sensitive data. While existing privacy-preserving approa…
  datacite Zhou, Haoqiang, Chen, Chi, Zhi, Yongfeng, Gao, Huan 2026 置信度 0.66 Systems and Control (eess.SY)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Efficient Arithmetic-and-Comparison Homomorphic Encryption with Space Switching
  Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption, making it central to privacy-preserving applications. However, no existing scheme efficiently supports both arithmetic and comparison operations in a unified framework…
  datacite Wahyudi, Erwin Eko, Solihin, Yan, Lou, Qian 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval
  Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval 1. Introduction: The End of Storage and the Rise of Location 1.1 The Crisis of the Von Neumann Bottleneck The history of computing has…
  datacite Kulik, Dean 2026 置信度 0.66
• Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval
  Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval 1. Introduction: The End of Storage and the Rise of Location 1.1 The Crisis of the Von Neumann Bottleneck The history of computing has…
  datacite Kulik, Dean 2026 置信度 0.66
• Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval
  Retrieval Augmented Generation (RAG) systems deployed across organizational boundaries face fundamental tensions between security, accuracy, and efficiency. Current encryption methods expose plaintext during decryption, while federated architectures prevent re…
  datacite Liu, Yu, Peng, Kun, Zhang, Wenxiao, Yuan, Fangfang 等 2026 置信度 0.66 Cryptography and Security (cs.CR)Information Retrieval (cs.IR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Leveraging ASIC AI Chips for Homomorphic Encryption
  Homomorphic Encryption (HE) provides strong data privacy for cloud services but at the cost of prohibitive computational overhead. While GPUs have emerged as a practical platform for accelerating HE, there remains an order-of-magnitude energy-efficiency gap co…
  datacite Tong, Jianming, Huang, Tianhao, Dang, Jingtian, de Castro, Leo 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Hardware Architecture (cs.AR)Computation and Language (cs.CL)Programming Languages (cs.PL)FOS: Computer and information sciences
• AEGIS: Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems
  Fully Homomorphic Encryption (FHE) enables privacy-preserving Transformer inference, but long-sequence encrypted Transformers quickly exceed single-GPU memory capacity because encoded weights are already large and encrypted activations grow rapidly with sequen…
  datacite Gong, Zhaoting, Ran, Ran, Yao, Fan, Wen, Wujie 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
  Federated Learning (FL) enables collaborative training while keeping sensitive data on clients' devices, but local model updates can still leak private information. Hybrid Homomorphic Encryption (HHE) has recently been applied to FL to mitigate client overhead…
  datacite Costa, Ivan, Correia, Pedro, Amorim, Ivone, Maia, Eva 等 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Meeting in the Middle: A Co-Design Paradigm for FHE and AI Inference
  Modern cloud inference creates a two sided privacy problem where users reveal sensitive inputs to providers, while providers must execute proprietary model weights inside potentially leaky execution environments. Fully homomorphic encryption (FHE) offers crypt…
  datacite Magri, Bernardo, Marsh, Benjamin, Gebheim, Paul 2026 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• BrainPredict Enterprise AI Platform — IP Deposit v3 — March 18, 2026 — Platform #19 Automation + Living Organism Autonomous Loop + Intelligence Bus v7
  Intellectual property deposit v3 — BrainPredict enterprise AI platform v2026.3. Covers all changes since March 11, 2026 (23 commits, 329 files changed). Core inventions in this deposit: 1. BrainPredict™ Living Organism — ecosystem-wide autonomous self-healing …
  datacite Clairin, Raphael Pierre Eugene 2026 置信度 0.66 enterprise AI, BrainPredict, autonomous remediation, self-healing AI, industrial AI, OPC-UA, IEC 62443, Intelligence Bus, zero-knowledge, homomorphic encryption, post-quantum cryptography, CRYSTALS, Kyber, Dilithium, BrainCore, OTTO Embodied, living organism, SLM, MPC, Shamir
• BrainPredict Enterprise AI Platform — IP Deposit v3 — March 18, 2026 — Platform #19 Automation + Living Organism Autonomous Loop + Intelligence Bus v7
  Intellectual property deposit v3 — BrainPredict enterprise AI platform v2026.3. Covers all changes since March 11, 2026 (23 commits, 329 files changed). Core inventions in this deposit: 1. BrainPredict™ Living Organism — ecosystem-wide autonomous self-healing …
  datacite Clairin, Raphael Pierre Eugene 2026 置信度 0.66 enterprise AI, BrainPredict, autonomous remediation, self-healing AI, industrial AI, OPC-UA, IEC 62443, Intelligence Bus, zero-knowledge, homomorphic encryption, post-quantum cryptography, CRYSTALS, Kyber, Dilithium, BrainCore, OTTO Embodied, living organism, SLM, MPC, Shamir
• Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration
  Fully homomorphic encryption (FHE) enables secure computation on encrypted data, mitigating privacy concerns in cloud and edge environments. However, due to its high compute and memory demands, extensive acceleration research has been pursued across diverse ha…
  datacite Choi, Wonseok, Yu, Hyunah, Kim, Jongmin, Ji, Hyesung 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
• REVIEW OF SYNERGIZING DEEP LEARNING AND NONLINEAR MODEL PREDICTIVE CONTROL
  The operational complexity of modern industrial processes demands control frameworks that are both mathematically rigorous and computationally agile. This paper provides a systematic review of the transformative advances in Nonlinear Model Predictive Control (…
  datacite Tuyboyov Oybek 2026 置信度 0.66 Nonlinear Model Predictive Control (NMPC)Physics-Informed Neural Networks (PINNs)Recurrent Neural Networks (RNN)Deep Learning-based System IdentificationModel Order Reduction (MOR)
• REVIEW OF SYNERGIZING DEEP LEARNING AND NONLINEAR MODEL PREDICTIVE CONTROL
  The operational complexity of modern industrial processes demands control frameworks that are both mathematically rigorous and computationally agile. This paper provides a systematic review of the transformative advances in Nonlinear Model Predictive Control (…
  datacite Tuyboyov Oybek 2026 置信度 0.66 Nonlinear Model Predictive Control (NMPC)Physics-Informed Neural Networks (PINNs)Recurrent Neural Networks (RNN)Deep Learning-based System IdentificationModel Order Reduction (MOR)
• SYNERGIZING DEEP LEARNING AND NONLINEAR MODEL PREDICTIVE CONTROL: A REVIEW
  The operational complexity of modern industrial processes demands control frameworks that are both mathematically rigorous and computationally agile. This paper provides a systematic review of the transformative advances in Nonlinear Model Predictive Control (…
  datacite Tuyboyov Oybek 2026 置信度 0.66 Nonlinear Model Predictive Control (NMPC)Physics-Informed Neural Networks (PINNs)Recurrent Neural Networks (RNN)Deep Learning-based System IdentificationModel Order Reduction (MOR)
• Blueprint OS Biologique Souverain
  Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous Licence Apache 2.0. Il constitue une publication défensive (antériorité) volontaire et entre dans l'état de la technique au sens des législations …
  datacite Pillet, Xavier 2026 置信度 0.66 A61B 5/00A61B 5/145A61B 5/1455A61K 9/127A61K 9/1271
• Blueprint OS Biologique Souverain
  Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous Licence Apache 2.0. Il constitue une publication défensive (antériorité) volontaire et entre dans l'état de la technique au sens des législations …
  datacite Pillet, Xavier 2026 置信度 0.66 A61B 5/00A61B 5/145A61B 5/1455A61K 9/127A61K 9/1271
• SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
  Federated fine-tuning is critical for improving the performance of large language models (LLMs) in handling domain-specific tasks while keeping training data decentralized and private. However, prior work has shown that clients' private data can actually be re…
  datacite Liu, Jianmin, Yan, Li, Li, Borui, Yu, Lei 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments
  Federated Learning (FL) enables collaborative training without centralizing data, essential for privacy compliance in real-world scenarios involving sensitive visual information. Most FL approaches rely on expensive, iterative deep network optimization, which …
  datacite Dopico-Castro, Alejandro, Fontenla-Romero, Oscar, Guijarro-Berdiñas, Bertha, Alonso-Betanzos, Amparo 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Ocean is a revolutionary quantum-inspired …
  datacite Baladi, Samir 2026 置信度 0.66 quantum computingdeep-sea monitoringoceanographyartificial intelligencemachine learning
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Ocean is a revolutionary quantum-inspired …
  datacite Baladi, Samir 2026 置信度 0.66 quantum computingdeep-sea monitoringoceanographyartificial intelligencemachine learning
• Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval
  Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval 1. Introduction: The End of Storage and the Rise of Location 1.1 The Crisis of the Von Neumann Bottleneck The history of computing has…
  datacite Kulik, Dean 2026 置信度 0.66
• Secure Change-Point Detection for Time Series under Homomorphic Encryption
  We introduce the first method for change-point detection on encrypted time series. Our approach employs the CKKS homomorphic encryption scheme to detect shifts in statistical properties (e.g., mean, variance, frequency) without ever decrypting the data. Unlike…
  datacite Mazzone, Federico, Micali, Giorgio, Pronesti, Massimiliano 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
  Collaborative training of a machine learning model comes with a risk of sharing sensitive or private data. Federated learning offers a way of collectively training a single global model without the need to share client data, by sharing only the updated paramet…
  datacite Harenčák, Damian, Gajdošech, Lukáš, Madaras, Martin 2026 置信度 0.66 Cryptography and Security (cs.CR)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciencesI.4.9; E.3
• Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval
  Deterministic Harmonic Access (DHA): The Unified Interface for Recursive Computational Stability and Infinite State Retrieval 1. Introduction: The End of Storage and the Rise of Location 1.1 The Crisis of the Von Neumann Bottleneck The history of computing has…
  datacite Kulik, Dean 2026 置信度 0.66
• SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis
  Artificial intelligence (AI) increasingly powers sensitive applications in domains such as healthcare and finance, relying on both linear operations (e.g., matrix multiplications in large language models) and non-linear operations (e.g., sorting in retrieval-a…
  datacite Xue, Jiaqi, Xin, Xin, Zhang, Wei, Zheng, Mengxin 等 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences