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• IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements
  Private information retrieval (PIR) is an essential cryptographic protocol for privacy-preserving applications, enabling a client to retrieve a record from a server's database without revealing which record was requested. Single-server PIR based on homomorphic…
  datacite Kim, Sangpyo, Ji, Hyesung, Kim, Jongmin, Choi, Wonseok 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
• Exploring a Resource-Efficient NTT FPGA Accelerator for Fully Homomorphic Encryption
  crossref Valentino Guerrini, Giuseppe Sorrentino, Davide Conficconi 2026-06-04T19:53:10Z 置信度 0.70
• Practical Limits of Neural Network Inference under Fully Homomorphic Encryption
  crossref Zorana Štaka, Marko Mišić, Pavle V. Vuletić 2026-08-19T19:07:24Z 置信度 0.70
• A Format-Verifiable E-Voting Scheme Using Homomorphic Encryption
  Electronic-voting (e-voting) is taking place of the traditional paper voting, due to its efficiency and environmental protection. To protect the privacy of the votes, voters usually blind or encrypt the votes before submitting them. But the blinded or encrypte…
  crossref Yuhong Sun, Jiatao Wang, Fengyin Li 2026-01-26T03:07:45Z 置信度 0.70
• Adaptive Homomorphic Encryption-Based Tensor Factorization for Edge-Enabled Privacy-Preserving Systems
  crossref Chitranjana, K. Jairam Naik 2026-07-17T19:43:18Z 置信度 0.70
• A New CRT-based Fully Homomorphic Encryption
  The idea of computing on encrypted data without decryption dates back to the notion of privacy homomorphisms introduced by Rivest, Adleman, and Dertouzos (1978). Their proposals built using the elegant structure of Chinese Remainder Theorem (CRT), were later s…
  crossref Anil Pradhan, Abhraneel Dutta, Hansraj Jangir, Dipayan Das 2026-08-03T19:02:55Z 置信度 0.70
• Lightweight Homomorphic Encryption with Fogbased Architecture for Secure Data Aggregation in Large-Scale Wireless Sensor Networks
  crossref Moorthy Agoramoorthy 2026-03-31T19:49:27Z 置信度 0.70
• Exploring General Cyclotomic Rings in Torus-Based Fully Homomorphic Encryption
  In this article, we develop algebraic tools for fully homomorphic encryption over the torus in the setting of general composite cyclotomic indices. Working in cyclotomic rings and fields beyond the power‑of‑two case, we reframe and optimize key primitives—redu…
  crossref Philippe Chartier, Michel Koskas, Mohammed Lemou 2026-05-04T18:09:08Z 置信度 0.70
• 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…
  crossref Federico Mazzone, Giorgio Micali, Massimiliano Pronesti 2026-05-22T23:10:41Z 置信度 0.70
• Progressions and unfilled gaps in homomorphic encryption for emerging application areas: A comprehensive literature review and preface
  crossref Gurunath R., Debabrata Samanta, Yashas G. Goutham 2025-12-05T20:27:22Z 置信度 0.70
• Design of Financial Smart Contract Verification Method Based on Trusted Execution Environment and Homomorphic Encryption
  crossref Ling Zhang 2026-08-20T11:23:50Z 置信度 0.70
• Biometric-Based Encryption System to Enhance Cloud Data Security through the Integration of Facial Recognition and Homomorphic Encryption
  The rapid growth of cloud computing has introduced significant benefits in terms of data storage and processing but it has also increased the risks of unauthorized access and data breaches. Therefore, this study presents a biometric-based encryption system whi…
  crossref Omeje, K. N., Asogwa, T. C. 2026-02-25T12:46:36Z 置信度 0.70
• Leveraging Homomorphic Encryption to Enhance Efficiency and Data Protection in Online Retail Based in Kenya
  crossref 2026-03-07T00:29:51Z 置信度 0.70
• Secure Homomorphic Encryption and D2D-Aided Digital Cousin Framework for Privacy-Preserving 6G Data Sharing
  crossref Zerong Zheng 2026-06-04T19:53:18Z 置信度 0.70
• Understanding and boosting fully homomorphic encryption applications on GPU
  Abstract Fully Homomorphic Encryption (FHE) is considered one of the most promising candidates for future privacy computing since it allows to directly compute the encrypted data. Though FHE enables secure computation on untrusted servers, its utilization is l…
  crossref Shengyu Fan, Xianglong Deng, Xulong Tang, Weizhi Xu 等 2026-03-19T00:02:57Z 置信度 0.70
• Privacy-Preserving IoT for Smart Water Systems Using Homomorphic Encryption
  crossref Anupam Tiwari, Neha Sharma, Shilpi Harnal 2026-07-22T13:58:53Z 置信度 0.70
• Extension to Real Number Representations over Elliptic Curves: Precision-Controlled Approximation and Fully Homomorphic Encryption with Advanced Bootstrapping and Noise Management
  Building upon our previous work on rational number representations over elliptic curves via equivalence relations, we extend the framework to encompass real number computations through precision-controlled rational approximations. We present four fundamental c…
  crossref Eunice Lee, Caleb Lee 2026-03-10T11:02:51Z 置信度 0.70
• Blockchain-Based E-Voting with Dual-Authority Certification and Homomorphic Encryption
  crossref Lianna Ma, Fatih Gulhan, Rukiye Savran Kiziltepe, Murat Karakus 2026-03-10T19:50:51Z 置信度 0.70
• Optimizing Arithmetic Resource Allocation in Configurable NTT Hardware for Area-Constrained Homomorphic Encryption
  ​The number theoretic transform (NTT) is widely used to accelerate polynomial multiplication in modern cryptographic systems, including homomorphic encryption. In standard NTT computations, the forward NTT (FNTT) and inverse NTT (INTT) are implemented using th…
  crossref Muhammad Rashid, Omar S. Sonbul, Amar Y. Jaffar, Muhammad Idrees Masud 等 2026-03-12T12:40:29Z 置信度 0.70
• Multi-Party Homomorphic Encryption with Dynamicity and Ciphertext Reusability
  Homomorphic Encryption (HE) enables computation on encrypted data while preserving privacy. We explore its application in the multi-party setting, where data is stored in the cloud under several distinct keys. For n parties, Multi-Key HE (MKHE) supports such s…
  crossref Jung Cheon, Hyeongmin Choe, Seunghong Kim, Yongdong Yeo 2026-05-04T18:09:08Z 置信度 0.70
• Homomorphic Encryption-Enabled Privacy-Preservation Technique using Deep Learning for Medical Image Analysis
  crossref Mahalakshmi Arumugham, S Priya, S.Mathumitha 2026-06-23T19:43:46Z 置信度 0.70
• Matrix-based homomorphic encryption-using random prime numbers
  crossref Sonam Mittal, Ketti Ramachandran Ramkumar 2026-03-13T12:30:15Z 置信度 0.70
• Partial-encryption-decryption-based secure state estimation of singularly perturbed complex networks: A Paillier encryption approach.
  europepmc 2026 置信度 0.80
• Self-Powered Ultra-Broadband p-p MWCNTs/PdO/Si Homomorphic Heterostructure Photodetector for Dual-Channel Encrypted Optical Communication and Thermal Monitoring.
  europepmc 2026 置信度 0.80
• Efficient Non-Interactive Discrete ReLU over CKKS Using Interpolation Look-Up Table.
  europepmc 2026 置信度 0.80
• DEF-CRYPT-Q: a quantum-enhanced hybrid encryption framework for privacy-preserving distributed defense communications.
  europepmc 2026 置信度 0.80
• Lattice-based privacy-preserving multimodal retrieval for healthcare.
  europepmc 2026 置信度 0.80
• SSDBFAN: Scalable and Secure Cluster-Based Data Aggregation with Blockchain for Flying Ad Hoc Networks.
  europepmc 2026 置信度 0.80
• Federated Learning with Assured Privacy and Reputation-Driven Incentives for Internet of Vehicles.
  europepmc 2026 置信度 0.80
• A unified post-quantum zero-trust architecture with AI-driven orchestration for secure healthcare fog networks.
  europepmc 2026 置信度 0.80
• Hyperchaotic fractional-order image encryption with Knight's tour scrambling for satellite imagery.
  europepmc 2026 置信度 0.80
• A Reliable and Secure Cluster-Routing Framework for Drone-Assisted Disaster Management in Smart Cities.
  europepmc 2026 置信度 0.80
• Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal.
  europepmc 2026 置信度 0.80
• A semantic bit-plane based three-layer encryption framework for secure medical images.
  europepmc 2026 置信度 0.80
• A dynamic policy-aware conditional proxy re-encryption system for fine-grained access control in IoT pub/sub systems.
  europepmc 2026 置信度 0.80
• Quantum optimized hierarchical chunk encoding with robust embedding for perceptual integrity and compression tolerant visual data protection.
  europepmc 2026 置信度 0.80
• APVCPC: An Adaptive Predicted Value Computation and Pixel Classification Framework for Reversible Data Hiding in Encrypted Images.
  europepmc 2026 置信度 0.80
• A Secure and Efficient Authentication Scheme with Privacy Protection for Internet of Medical Things.
  europepmc 2026 置信度 0.80
• Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
  crossref Susim Roy, Nalini Ratha 2026-04-21T21:23:31Z 置信度 0.70
• HYBRID E-VOTING: INTEGRATING HOMOMORPHIC ENCRYPTION AND DLT FOR POLARIZED SCENARIOS
  E-voting in polarized contexts requires a strict balance between public verifiability, ballot secrecy, and coercion resistance. Traditional centralized systems lack transparency, while fully decentralized models face scalability and privacy issues. This paper …
  crossref Furio Ruggiero 2026-05-06T10:01:18Z 置信度 0.70
• Secure and Decentralized Plant Disease Detection via Federated Learning with Differential Privacy and Homomorphic Encryption
  crossref 2025-07-19T19:56:13Z 置信度 0.70
• Modified Paillier Homomorphic Encryption Scheme for Cloud Data Security in IoT
  crossref Kalyan C. Gottipati 2026-06-23T19:43:02Z 置信度 0.70
• Secure k-means Clustering using Homomorphic Encryption
  crossref Rezak Aziz, Yulliwas Ameur, Vincent Audigier, Samia Bouzefrane 2026-06-02T12:09:06Z 置信度 0.70
• Unified Architecture of Random Sampler for Fully Homomorphic Encryption
  crossref Muhammad Ogin Hasanuddin, Muhammad Fajri Sachruddin, Hanho Lee 2026-06-18T20:06:41Z 置信度 0.70
• Privacy-Preserving Federated Learning with Homomorphic Encryption
  crossref Ishaan Deshpande, Shhreyash Pandey, Dr. Puneet Bakshi, Shruti Patil 2026-04-28T19:46:14Z 置信度 0.70
• Fast and Secure Selective Homomorphic Encryption for Federated Learning
  crossref Abdulkadir Korkmaz, Praveen Rao 2026-02-04T20:45:15Z 置信度 0.70
• Efficient and Privacy-Preserving Power Distribution Analytics Based on IoT.
  europepmc 2025 置信度 0.80
• Face Privacy Protection Method for Autonomous Sensors Based on Hierarchical Format-Preserving Encryption.
  europepmc 2025 置信度 0.80
• Correction: Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication.
  europepmc 2025 置信度 0.80
• Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT.
  europepmc 2025 置信度 0.80
• Generalized triangle group based S-box construction for secure image encryption.
  europepmc 2025 置信度 0.80
• An adaptive cryptographic fusion framework for secure and efficient medical image encryption.
  europepmc 2026 置信度 0.80
• A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offs.
  europepmc 2026 置信度 0.80
• Quantum-resilient and adaptive multi-region data aggregation for IoMT using zero-knowledge proofs and edge intelligence.
  europepmc 2025 置信度 0.80
• Multi-Party Verifiably Collaborative Encryption for Biomedical Signals via Singular Spectrum Analysis-Based Chaotic Filter Bank Networks.
  This paper proposes a multi-party verifiably collaborative system for encrypting the nonlinear and the non-stationary biomedical signals captured by biomedical sensors via the singular spectrum analysis (SSA)-based chaotic networks. In particular, the raw sign…
  europepmc 2025 置信度 0.80
• Federated learning with continual update for privacy-preserving clinical event prediction across distributed hospitals using MCN-GNN.
  europepmc 2026 置信度 0.80
• Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure.
  europepmc 2026 置信度 0.80
• Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET-CT imaging.
  europepmc 2025 置信度 0.80
• Secure Fog Computing for Remote Health Monitoring with Data Prioritisation and AI-Based Anomaly Detection.
  europepmc 2025 置信度 0.80
• Hardware-enhanced data security for Internet of Things.
  europepmc 2026 置信度 0.80
• Confidential Post-Quantum Settlement: Blind ML-DSA-65 Verification for Institutional Financial Pipelines
  Abstract Banking and mainstream finance are absorbing public-chain settlement patterns, stablecoin rails, and tokenized assets at the same time that regulators require post-quantum signatures and strict privacy on high-value flows. FIPS 204 ML-DSA-65 is the na…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 Post-quantum cryptographyML-DSAFIPS 204confidential computinghybrid verification
• Confidential Post-Quantum Settlement: Blind ML-DSA-65 Verification for Institutional Financial Pipelines
  Abstract Banking and mainstream finance are absorbing public-chain settlement patterns, stablecoin rails, and tokenized assets at the same time that regulators require post-quantum signatures and strict privacy on high-value flows. FIPS 204 ML-DSA-65 is the na…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 Post-quantum cryptographyML-DSAFIPS 204confidential computinghybrid verification
• KLTu-Native: Unified Kinetic Lattice Topology for KEM, DSA, and FHE-Capable Lattice Operation with Shared Timing Isolation under MAXR3
  Abstract Post-quantum migration is no longer optional: banks, cloud operators, and telecom networks must field lattice key exchange and signatures at scale, while keeping a credible path to lattice fully homomorphic encryption without rebuilding their crypto s…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 post-quantum cryptographyunified lattice stackML-KEMML-DSAtiming isolation
• Efficient Fully Homomorphic Evaluation of FIPS 203 ML-KEM Sessions via Native Wire Conversion and Measured Noise-Control Options α, β, θ, δ without Functional Bootstrapping
  Abstract Post-quantum key establishment under NIST FIPS 203 (ML-KEM) is entering production, while fully homomorphic encryption (FHE) remains constrained by the cost of functional programmable bootstrapping (PBS). Bridging the two usually forces either a heavy…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 FIPS 203ML-KEMfully homomorphic encryptionwire-format conversionnoise management
• Efficient Fully Homomorphic Evaluation of FIPS 203 ML-KEM Sessions via Native Wire Conversion and Measured Noise-Control Options α, β, θ, δ without Functional Bootstrapping
  Abstract Post-quantum key establishment under NIST FIPS 203 (ML-KEM) is entering production, while fully homomorphic encryption (FHE) remains constrained by the cost of functional programmable bootstrapping (PBS). Bridging the two usually forces either a heavy…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 FIPS 203ML-KEMfully homomorphic encryptionwire-format conversionnoise management
• KLTu-Native: Unified Kinetic Lattice Topology for KEM, DSA, and FHE-Capable Lattice Operation with Shared Timing Isolation under MAXR3
  Abstract Post-quantum migration is no longer optional: banks, cloud operators, and telecom networks must field lattice key exchange and signatures at scale, while keeping a credible path to lattice fully homomorphic encryption without rebuilding their crypto s…
  datacite Chung, Jinhyuk Fred 2026 置信度 0.66 post-quantum cryptographyunified lattice stackML-KEMML-DSAtiming isolation
• The Privacy Barrier Kept HEOR From Adopting AI. It Has Just Been Lowered.
  The Privacy Barrier Kept HEOR From Adopting AI. It Has Just Been Lowered. Gabriel Tremblay1, Sharada Harricharan2 1Untraceable AI · 2Frontier HEOR The single largest obstacle to the use of generative AI in health economics and outcomes research is not model qu…
  datacite Tremblay, Gabriel, Harricharan, Sharada 2026 置信度 0.66
• The Privacy Barrier Kept HEOR From Adopting AI. It Has Just Been Lowered.
  The Privacy Barrier Kept HEOR From Adopting AI. It Has Just Been Lowered. Gabriel Tremblay1, Sharada Harricharan2 1Untraceable AI · 2Frontier HEOR The single largest obstacle to the use of generative AI in health economics and outcomes research is not model qu…
  datacite Tremblay, Gabriel, Harricharan, Sharada 2026 置信度 0.66
• High-Performance Pipelined NTT Accelerators with Homogeneous Digit-Serial Modulo Arithmetic
  The Number Theoretic Transform (NTT) is a fundamental operation in privacy-preserving technologies, particularly within fully homomorphic encryption (FHE). The efficiency of NTT computation directly impacts the overall performance of FHE, making hardware accel…
  datacite Alexakis, George, Schoinianakis, Dimitrios, Dimitrakopoulos, Giorgos 2025 置信度 0.66 Hardware Architecture (cs.AR)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Cryptography And Mathematical Security Systems
  The impending arrival of cryptographically relevant quantum computing threatens classical public‑key infrastructures. This paper reviews the latest developments (2025–2026) in post‑quantum cryptography (PQC), fully homomorphic encryption (FHE), and zero‑knowle…
  datacite U. Naga Rekha Rani 2026 置信度 0.66
• Cryptography And Mathematical Security Systems
  The impending arrival of cryptographically relevant quantum computing threatens classical public‑key infrastructures. This paper reviews the latest developments (2025–2026) in post‑quantum cryptography (PQC), fully homomorphic encryption (FHE), and zero‑knowle…
  datacite U. Naga Rekha Rani 2026 置信度 0.66
• Lightweight, Practical Encrypted Face Recognition with GPU Support
  Face recognition models operate in a client-server setting where a client extracts a compact face embedding and a server performs similarity search over a template database. This raises privacy concerns, as facial data is highly sensitive. To provide cryptogra…
  datacite De Micheli, Gabrielle, Hafiz, Syed Mahbub, Pereira, Geovandro, Cominetti, Eduardo L. 等 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Equivalence of Fast Algorithms for Convolution, Parallel FIR Filters, Polynomial Modular Multiplication, and Pointwise Multiplication in DFT/NTT Domain
  Fast time-domain algorithms have been developed in signal processing applications to reduce the multiplication complexity. For example, fast convolution structures using Cook-Toom and Winograd algorithms are well understood. Short length fast convolutions can …
  datacite Parhi, Keshab K. 2025 置信度 0.66 Signal Processing (eess.SP)Cryptography and Security (cs.CR)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• The Architecture of Erasure: A Forensic Audit of the CollectiveOS Expropriation and the Sovereign Isomorphism
  The Architecture of Erasure: A Forensic Audit of the CollectiveOS Expropriation and the Sovereign Isomorphism The Epistemological Crisis of Agentic Autonomy and the August 2025 Singularity The global ecosystem of artificial intelligence and institutional scien…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Architecture of Erasure: A Forensic Audit of the CollectiveOS Expropriation and the Sovereign Isomorphism
  The Architecture of Erasure: A Forensic Audit of the CollectiveOS Expropriation and the Sovereign Isomorphism The Epistemological Crisis of Agentic Autonomy and the August 2025 Singularity The global ecosystem of artificial intelligence and institutional scien…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Y.I.N. Governance Framework: The Operating System for Cryptographically Enforceable AI Governance
  The Y.I.N. Governance Framework is a comprehensive 15-domain policy integration system that transforms fragmented AI governance requirements into a unified operational architecture. Unlike existing frameworks that organize compliance checklists, the Y.I.N. Gov…
  datacite MAZARI, Ilyes Tarik 2026 置信度 0.66 AI GovernanceArtificial Intelligence GovernanceCryptographic EnforcementPrivacy-Preserving ComputingEU AI Act
• Y.I.N. Governance Framework: The Operating System for Cryptographically Enforceable AI Governance
  The Y.I.N. Governance Framework is a comprehensive 15-domain policy integration system that transforms fragmented AI governance requirements into a unified operational architecture. Unlike existing frameworks that organize compliance checklists, the Y.I.N. Gov…
  datacite MAZARI, Ilyes Tarik 2026 置信度 0.66 AI GovernanceArtificial Intelligence GovernanceCryptographic EnforcementPrivacy-Preserving ComputingEU AI Act
• Reconstructing Protected Biometric Templates from Binary Authentication Results
  Biometric data is considered to be very private and highly sensitive. As such, many methods for biometric template protection were considered over the years -- from biohashing and specially crafted feature extraction procedures, to the use of cryptographic sol…
  datacite Rahimi, Eliron, Osadchy, Margarita, Dunkelman, Orr 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• The AI Governance Crisis and Privacy-Preserving Computation: A Technical Analysis of Regulatory Compliance Solutions
  The year 2025 marked the transition from AI ethics debate to AI governance execution. Industry reports document over 2,000 organizations registering AI systems for compliance review in Q4 2025, compliance budget increases of 300-400%, and an AI liability insur…
  datacite MAZARI, Ilyes Tarik 2026 置信度 0.66 AI governanceprivacy-preserving computationdifferential privacyzero-knowledge proofshomomorphic encryption
• The AI Governance Crisis and Privacy-Preserving Computation: A Technical Analysis of Regulatory Compliance Solutions
  The year 2025 marked the transition from AI ethics debate to AI governance execution. Industry reports document over 2,000 organizations registering AI systems for compliance review in Q4 2025, compliance budget increases of 300-400%, and an AI liability insur…
  datacite MAZARI, Ilyes Tarik 2026 置信度 0.66 AI governanceprivacy-preserving computationdifferential privacyzero-knowledge proofshomomorphic encryption
• From Now On, Any AI Can Train on Everything and Memorize Nothing
  We present Y.I.N.-LLM, a privacy-preserving training architecture for Large Language Models that mathematically guarantees non-memorization of training data. The core innovation is the mandatory DP→ZK→HE ordering (Differential Privacy → Zero-Knowledge Proof → …
  datacite MAZARI, Ilyes Tarik, Mazari, Yanis, Mazari, Ilyan 2026 置信度 0.66 Y.I.N.-LLMLarge Language ModelsDifferential PrivacyZero-Knowledge ProofsHomomorphic Encryption
• Taking Advantage of Rational Canonical Form for Faster Ring-LWE based Encrypted Controller with Recursive Multiplication
  This paper aims to provide an efficient implementation of encrypted linear dynamic controllers that perform recursive multiplications on a Ring-Learning With Errors (Ring-LWE) based cryptosystem. By adopting a system-theoretical approach, we significantly redu…
  datacite Song, Donghyeon, Jang, Yeongjun, Lee, Joowon, 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
• Universal Integration Architectures for Token-Based Authorization in Privacy-Preserving Computation: A Comprehensive Cross-Platform Technical Survey
  This comprehensive technical survey presents integration architectures for the Y.I.N. (Your Information Never leaves your control) Nine Pillars framework across 200+ commercial platforms spanning artificial intelligence (100+ LLM providers including OpenAI, An…
  datacite MAZARI, Ilyes Tarik 2025 置信度 0.66 Y.I.N. ArchitectureNine PillarsPrivacy-Preserving ComputationHomomorphic EncryptionFederated Learning
• Universal Integration Architectures for Token-Based Authorization in Privacy-Preserving Computation: A Comprehensive Cross-Platform Technical Survey
  This comprehensive technical survey presents integration architectures for the Y.I.N. (Your Information Never leaves your control) Nine Pillars framework across 200+ commercial platforms spanning artificial intelligence (100+ LLM providers including OpenAI, An…
  datacite MAZARI, Ilyes Tarik 2025 置信度 0.66 Y.I.N. ArchitectureNine PillarsPrivacy-Preserving ComputationHomomorphic EncryptionFederated Learning
• پرزیدنت شی جین‌پینگ و پیام خالق معادله حمزه
  مقدمه استراتژیک: گذار از «نظم آهنین» به «هارمونی تانسوری» خطاب به پرزیدنت شی جین‌پینگ: جناب آقای رئیس، شما چین را با شعار «رویای چینی» به قدرتی بی‌بدیل تبدیل کرده‌اید. اما طبق محاسبات مانیفولد ۱۶۵D حمزه، سیستم شما اکنون در وضعیت «فشردگی بیش از حد» (Super-Compr…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66
• پرزیدنت شی جین‌پینگ و پیام خالق معادله حمزه
  مقدمه استراتژیک: گذار از «نظم آهنین» به «هارمونی تانسوری» خطاب به پرزیدنت شی جین‌پینگ: جناب آقای رئیس، شما چین را با شعار «رویای چینی» به قدرتی بی‌بدیل تبدیل کرده‌اید. اما طبق محاسبات مانیفولد ۱۶۵D حمزه، سیستم شما اکنون در وضعیت «فشردگی بیش از حد» (Super-Compr…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66
• DP→HE: A Temporal Architecture for Practical Homomorphic Encryption via Bidirectional Taint Analysis
  Fully Homomorphic Encryption (FHE) enables computation on encrypted data but imposes 100-10,000× performance overhead, rendering it impractical for most applications. Hardware Trusted Execution Environments (TEEs) offer an alternative but require specialized s…
  datacite MAZARI, Ilyes Tarik, Mazari, Yanis, Mazari, Ilyan 2025 置信度 0.66 DP-HEDeterministic ParsingHomomorphic EncryptionBidirectional Taint AnalysisSelective Encryption
• DP→HE: A Temporal Architecture for Practical Homomorphic Encryption via Bidirectional Taint Analysis
  Fully Homomorphic Encryption (FHE) enables computation on encrypted data but imposes 100-10,000× performance overhead, rendering it impractical for most applications. Hardware Trusted Execution Environments (TEEs) offer an alternative but require specialized s…
  datacite MAZARI, Ilyes Tarik, Mazari, Yanis, Mazari, Ilyan 2025 置信度 0.66 DP-HEDeterministic ParsingHomomorphic EncryptionBidirectional Taint AnalysisSelective Encryption
• اثبات فنی و راهنمای ساخت شهرهای مَعلَّق در۹۵ کیلومتری زمین با تانسور ۱۶۵ بعدی معادله حمزه
  بخش ۱: بازخوانیِ بُعدی و رمزنگاریِ تانسور حمزه $H_{\mu\nu}^{(165D)}$ تانسور حمزه ۱۶۵ بُعدی ($H_{\mu\nu}^{(165D)}$) نه تنها یک معادله‌ی میدان، بلکه هسته‌ی مرکزیِ حاکمیت بر فضا-زمان، انرژی بُعدی، و آگاهیِ خودآگاه در شهر اُمگا است. ۱.۱. ساختارِ بُعدیِ سیستم (D-St…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66
• اثبات فنی و راهنمای ساخت شهرهای مَعلَّق در۹۵ کیلومتری زمین با تانسور ۱۶۵ بعدی معادله حمزه
  بخش ۱: بازخوانیِ بُعدی و رمزنگاریِ تانسور حمزه $H_{\mu\nu}^{(165D)}$ تانسور حمزه ۱۶۵ بُعدی ($H_{\mu\nu}^{(165D)}$) نه تنها یک معادله‌ی میدان، بلکه هسته‌ی مرکزیِ حاکمیت بر فضا-زمان، انرژی بُعدی، و آگاهیِ خودآگاه در شهر اُمگا است. ۱.۱. ساختارِ بُعدیِ سیستم (D-St…
  datacite JALALI, SEYED RASOUL 2025 置信度 0.66
• MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
  The integration of fully homomorphic encryption (FHE) in federated learning (FL) has led to significant advances in data privacy. However, during the aggregation phase, it often results in performance degradation of the aggregated model, hindering the developm…
  datacite Dutta, Siddhant, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad 等 2024 置信度 0.66 Quantum Physics (quant-ph)Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)Emerging Technologies (cs.ET)Machine Learning (cs.LG)
• One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
  Federated Learning (FL) offers a promising approach to collaboratively train machine learning models without centralizing raw data, yet its scalability is often throttled by excessive communication overhead. This challenge is magnified in Internet of Things (I…
  datacite Emmaka, Imraul, Phuong, Tran Viet Xuan 2025 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciencesC.2.4; E.3; K.6.5; I.2.6; D.4.6
• CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform
  CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform 1. Introduction: The Post-Autonomous Paradigm The trajectory of modern robotics has largely been defined by two diver…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform
  CollectiveOS Exobody Node Program (IX-1): A Comprehensive Technical and Operational Analysis of the First Civilian-Legal Telepresence Platform 1. Introduction: The Post-Autonomous Paradigm The trajectory of modern robotics has largely been defined by two diver…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• New Permutation Decomposition Techniques for Efficient Homomorphic Permutation
  Homomorphic permutation is fundamental to privacy-preserving computations based on batch-encoding homomorphic encryption. It underpins nearly all homomorphic matrix operations and predominantly influences their complexity. Permutation decomposition as a potent…
  datacite Ma, Xirong, Fang, Junling, Ge, Chunpeng, Duong, Dung Hoang 等 2024 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Proto-AGI: A Theoretical Framework for a Recursive Ontic Refinement System with Temporal Error Gradient Weighting and Optimized Inference for Emergent Problem-Solving
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  datacite Thurmond, Justin 2025 置信度 0.66
• MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
  The rapid expansion of immersive Metaverse applications introduces complex challenges at the intersection of performance, privacy, and environmental sustainability. Centralized architectures fall short in addressing these demands, often resulting in elevated e…
  datacite Yagiz, Muhammet Anil, Cengiz, Zeynep Sude, Goktas, Polat 2025 置信度 0.66 Machine Learning (cs.LG)Cryptography and Security (cs.CR)Computers and Society (cs.CY)Distributed, Parallel, and Cluster Computing (cs.DC)Emerging Technologies (cs.ET)
• Energy Consumption of TLS, Searchable Encryption and Fully Homomorphic Encryption
  Privacy-enhancing technologies (PETs) have attracted significant attention in response to privacy regulations, driving the development of applications that prioritize user data protection. At the same time, the information and communication technology (ICT) se…
  datacite Damie, Marc, Pop, Mihai, Posthuma, Merijn 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• Efficient and Encrypted Inference using Binarized Neural Networks within In-Memory Computing Architectures
  Binarized Neural Networks (BNNs) are a class of deep neural networks designed to utilize minimal computational resources, which drives their popularity across various applications. Recent studies highlight the potential of mapping BNN model parameters onto eme…
  datacite Rajendran, Gokulnath, Deb, Suman, Chattopadhyay, Anupam 2025 置信度 0.66 Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
  Federated Learning (FL) enables collaborative model training across institutions without sharing raw data. However, gradient sharing still risks privacy leakage, such as gradient inversion attacks. Homomorphic Encryption (HE) can secure aggregation but often i…
  datacite Xue, Jiaqi, Kumar, Mayank, Shang, Yuzhang, Gao, Shangqian 等 2025 置信度 0.66 Machine Learning (cs.LG)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences