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• Artifact: SoK - The Evaluation and Scaling Gaps in Private Transformer Inference (anonymized for review)
  Anonymized research artifact accompanying a paper under double-blind review. It contains the frozen 62-paper corpus metadata, the structured extraction protocol and codebook, per-paper evaluation-contract fields, the comparability-gate implementation and the 1…
  datacite Anonymous 2026 置信度 0.66 privacy-preserving machine learningsecure multi-party computationhomomorphic encryptionTransformer inferencesystematization of knowledge
• On the Irreducible Overhead of Zero-Knowledge Proofs for Neural Network Inference
  We establish an information-theoretic lower bound on the prover overhead of any zero-knowledge proof system that verifies arbitrary neural network inference. We prove a minimum multiplicative overhead of 2x for general circuits, rising to 4x for neural network…
  datacite Marín Soto, Antonio José 2026 置信度 0.66
• On the Irreducible Overhead of Zero-Knowledge Proofs for Neural Network Inference
  We establish an information-theoretic lower bound on the prover overhead of any zero-knowledge proof system that verifies arbitrary neural network inference. We prove a minimum multiplicative overhead of 2x for general circuits, rising to 4x for neural network…
  datacite Marín Soto, Antonio José 2026 置信度 0.66
• PRIVACY-PRESERVING TRADING IN LOCAL ENERGY MARKETS
  The transition towards sustainable energy, primarily driven by the urgent need to combat climate change and reduce environmental degradation, has led to a significant shift from conventional fossil fuels to Renewable Energy Sources (RES). Local Energy Markets …
  datacite Erdayandi, Kamil 2024 置信度 0.66 Billing MechanismsClearance MechanismsBlockchainAccountabilityHomomorphic Encryption
• PRIVACY-PRESERVING TRADING IN LOCAL ENERGY MARKETS
  The transition towards sustainable energy, primarily driven by the urgent need to combat climate change and reduce environmental degradation, has led to a significant shift from conventional fossil fuels to Renewable Energy Sources (RES). Local Energy Markets …
  datacite Erdayandi, Kamil 2024 置信度 0.66 Billing MechanismsClearance MechanismsBlockchainAccountabilityHomomorphic Encryption
• An Efficient Protocol For Computations Delegation Using Rerandomizable Garbled Circuits
  We consider the problem of delegating computations, in which a client may outsource the computation of a function, represented as a boolean circuit, to an external entity, then receives the result and a proof of correctness that can be verified efficiently. Mo…
  datacite Ibrahim, Ahmed Salah Tawfik, Gouhar, Amr Adel Mohamed Elsaid, Ghazy, Ahmed Alaa Abdelmonem, Ahmed, Mohamed Ahmed Abdelshahied 等 2023 置信度 0.66 Yao's Garbled CircuitsDelegating ComputationsHomomorphic EncryptionElGamal EncryptionSecure Multi-party Computation
• An Efficient Protocol For Computations Delegation Using Rerandomizable Garbled Circuits
  We consider the problem of delegating computations, in which a client may outsource the computation of a function, represented as a boolean circuit, to an external entity, then receives the result and a proof of correctness that can be verified efficiently. Mo…
  datacite Ibrahim, Ahmed Salah Tawfik, Gouhar, Amr Adel Mohamed Elsaid, Ghazy, Ahmed Alaa Abdelmonem, Ahmed, Mohamed Ahmed Abdelshahied 等 2023 置信度 0.66 Yao's Garbled CircuitsDelegating ComputationsHomomorphic EncryptionElGamal EncryptionSecure Multi-party Computation
• Two-Way Confidential VMs (2cVM): Collaborative Confidential Computing for Mutually Distrustful Parties
  Collaborative computation across organizations is often constrained by the need to process sensitive data and proprietary code without exposing them to untrusted infrastructure or participants. Cryptographic approaches such as fully homomorphic encryption and …
  datacite Thijsman, Jordi, Sebrechts, Merlijn, Lefever, Stefan, De Turck, Filip 等 2026 置信度 0.66 Confidential ComputingTrusted Execution EnvironmentsWebAssembly Component Model
• Two-Way Confidential VMs (2cVM): Collaborative Confidential Computing for Mutually Distrustful Parties
  Collaborative computation across organizations is often constrained by the need to process sensitive data and proprietary code without exposing them to untrusted infrastructure or participants. Cryptographic approaches such as fully homomorphic encryption and …
  datacite Thijsman, Jordi, Sebrechts, Merlijn, Lefever, Stefan, De Turck, Filip 等 2026 置信度 0.66 Confidential ComputingTrusted Execution EnvironmentsWebAssembly Component Model
• ELHE: AN EFFICIENT AND RELIABLE LIGHT WEIGHT HOMOMORPHIC CRYPTOGRAPHIC ALGORITHM FOR EDGE COMPUTING
  This paper presents ELHE (Edge-optimized Lightweight Homomorphic Encryption), a novel lightweight homomorphic cryptographic algorithm designed to solve the problem of secure computation on resource-constrained edge devices — enabling encrypted data to be proce…
  datacite Dr M.V.R JYOTHISREE, K. SATHISH, Dr D.BHAVANA, Dr. P.SYAMALA RAO, Dr. HARI JYOTHULA, Dr. SUBBA RAO POLAMURI, MANGALAGIRI SRIKANTH KUMAR, Dr. P.ANANTHA LAKSHMI 2026 置信度 0.66 Homomorphic Encryption, Edge Computing, Lightweight Cryptography, Ring Learning with Errors, Resource Optimization, Privacy-Preserving Computation, Lattice-Based Cryptography
• ELHE: AN EFFICIENT AND RELIABLE LIGHT WEIGHT HOMOMORPHIC CRYPTOGRAPHIC ALGORITHM FOR EDGE COMPUTING
  This paper presents ELHE (Edge-optimized Lightweight Homomorphic Encryption), a novel lightweight homomorphic cryptographic algorithm designed to solve the problem of secure computation on resource-constrained edge devices — enabling encrypted data to be proce…
  datacite Dr M.V.R JYOTHISREE, K. SATHISH, Dr D.BHAVANA, Dr. P.SYAMALA RAO, Dr. HARI JYOTHULA, Dr. SUBBA RAO POLAMURI, MANGALAGIRI SRIKANTH KUMAR, Dr. P.ANANTHA LAKSHMI 2026 置信度 0.66 Homomorphic Encryption, Edge Computing, Lightweight Cryptography, Ring Learning with Errors, Resource Optimization, Privacy-Preserving Computation, Lattice-Based Cryptography
• Enhancing Data Security through Cryptographic Techniques in Blockchain Networks
  This paper explores the role of cryptographic techniques such as hashing, digital signatures, and asymmetric encryption in enhancing data security within blockchain networks. Blockchain technology ensures decentralization, transparency, and immutability, but s…
  datacite RIYA, BHANGHLIA 2026 置信度 0.66 Blockchain Cryptography Data Security Digital Signatures Hashing Encryption Zero-Knowledge Proofs
• Enhancing Data Security through Cryptographic Techniques in Blockchain Networks
  This paper explores the role of cryptographic techniques such as hashing, digital signatures, and asymmetric encryption in enhancing data security within blockchain networks. Blockchain technology ensures decentralization, transparency, and immutability, but s…
  datacite RIYA, BHANGHLIA 2026 置信度 0.66 Blockchain Cryptography Data Security Digital Signatures Hashing Encryption Zero-Knowledge Proofs
• Ciphertext-Native Watermarking for RLWE-Based Homomorphic Encryption
  Homomorphic encryption (HE) schemes based on the Ring Learning with Errors (RLWE) problem have been rapidly developed and widely applied to secure computation tasks, such as privacy-preserving deep learning inference and database queries. However, existing HE …
  datacite Zhou, Yufei, Zheng, Peijia 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• Billion-Scale Nearest-Neighbor Search under Fully Homomorphic Encryption on a Single GPU, Balancing Leakage and Cost
  We build a system that answers "which database vectors are most similar to my query?" without the server ever seeing the query. The query is encrypted with fully homomorphic en- cryption (FHE); the server does all its scoring on ciphertexts and returns encrypt…
  datacite Isozaki, Isamu, Bratina, Madison, Kim, Edward 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• Study of Homomorphic Encryption
  AbstractAs data migration to cloud environments accelerates, traditional security models-which require datadecryption for processing-pose significant privacy risks by exposing sensitive information topotential unauthorized access. This assignment explores Homo…
  datacite Baidyanath Ram 2026 置信度 0.66
• Study of Homomorphic Encryption
  AbstractAs data migration to cloud environments accelerates, traditional security models-which require datadecryption for processing-pose significant privacy risks by exposing sensitive information topotential unauthorized access. This assignment explores Homo…
  datacite Baidyanath Ram 2026 置信度 0.66
• Two-Way Confidential VMs (2cVM): Collaborative Confidential Computing for Mutually Distrustful Parties
  Collaborative computation across organizations is often constrained by the need to process sensitive data and proprietary code without exposing them to untrusted infrastructure or participants. Cryptographic approaches such as fully homomorphic encryption and …
  datacite Thijsman, Jordi, Sebrechts, Merlijn, Lefever, Stefan, De Turck, Filip 等 2026 置信度 0.66 Confidential ComputingTrusted Execution EnvironmentsWebAssembly Component Model
• D5.3 Data Hub Design and Data Market v1
  This document is the first of two versions of the design documentation for the Health Data Hub envisioned for PHASE IV AI. The project aims to set up an infrastructure that allows the development of AI Models in the Health Domain, addressing the challenges imp…
  datacite Fujitsu Belgium 2025 置信度 0.66
• D5.3 Data Hub Design and Data Market v1
  This document is the first of two versions of the design documentation for the Health Data Hub envisioned for PHASE IV AI. The project aims to set up an infrastructure that allows the development of AI Models in the Health Domain, addressing the challenges imp…
  datacite Fujitsu Belgium 2025 置信度 0.66
• Federated Learning for Privacy-Preserving HR Analytics in Healthcare and Finance
  HR analytics and data privacy are becoming more important, especially in high regulation industries like healthcare and finance, and AI is being used in these analytics more and more. However, centralized machine learning approaches are still traditionally bas…
  datacite Devaraju, Sudheer, Katta, Srikanth 2023 置信度 0.66 Federated LearningHR AnalyticsData PrivacyHealthcareFinance
• Federated Learning for Privacy-Preserving HR Analytics in Healthcare and Finance
  HR analytics and data privacy are becoming more important, especially in high regulation industries like healthcare and finance, and AI is being used in these analytics more and more. However, centralized machine learning approaches are still traditionally bas…
  datacite Devaraju, Sudheer, Katta, Srikanth 2023 置信度 0.66 Federated LearningHR AnalyticsData PrivacyHealthcareFinance
• A Multi-Layered Security Framework for Cloud-Native ERP Systems (2026)
  Organizational data management has undergone a fundamental transformation as a result of the migration of Enterprise Resource Planning (ERP) systems to cloud computing environments. This migration offers previously unheard-of scalability, but it also exposes v…
  datacite Kumaragurubaran D, Sruthika K, Sachine S, Som Rithip Reddy 2026 置信度 0.66 Cloud-NativeERP SystemsCybersecuritySecurity FrameworkCloud Security
• A Multi-Layered Security Framework for Cloud-Native ERP Systems (2026)
  Organizational data management has undergone a fundamental transformation as a result of the migration of Enterprise Resource Planning (ERP) systems to cloud computing environments. This migration offers previously unheard-of scalability, but it also exposes v…
  datacite Kumaragurubaran D, Sruthika K, Sachine S, Som Rithip Reddy 2026 置信度 0.66 Cloud-NativeERP SystemsCybersecuritySecurity FrameworkCloud Security
• A Secure NLP Architecture using Quantum Resilient Public Key Cryptography
  This preprint presents a secure architecture for Natural Language Processing (NLP) that integrates post-quantum cryptography, lattice-based homomorphic encryption, and post-quantum digital signatures to protect sensitive data and maintain output integrity in c…
  datacite Singh, Navketan, Kaur, Gurnoor, Bhalla, Nidhi, Thukral, Janvi 等 2026 置信度 0.66
• A Secure NLP Architecture using Quantum Resilient Public Key Cryptography
  This preprint presents a secure architecture for Natural Language Processing (NLP) that integrates post-quantum cryptography, lattice-based homomorphic encryption, and post-quantum digital signatures to protect sensitive data and maintain output integrity in c…
  datacite Singh, Navketan, Kaur, Gurnoor, Bhalla, Nidhi, Thukral, Janvi 等 2026 置信度 0.66
• Privacy-preserving machine learning for mental health prediction using homomorphic encryption
  Student mental health issues, such as stress, anxiety, and depression, are increasingly prevalent in academic institutions, significantly affecting well-being and academic performance. Recent machine learning (ML)-based systems have demonstrated promise in pre…
  datacite Abbas, Shahroz, Sultana, Ajmery, Nasir, Mahreen, Garcia-Ruiz, Miguel 等 2025 置信度 0.66
• Privacy-preserving machine learning for mental health prediction using homomorphic encryption
  Student mental health issues, such as stress, anxiety, and depression, are increasingly prevalent in academic institutions, significantly affecting well-being and academic performance. Recent machine learning (ML)-based systems have demonstrated promise in pre…
  datacite Abbas, Shahroz, Sultana, Ajmery, Nasir, Mahreen, Garcia-Ruiz, Miguel 等 2025 置信度 0.66
• PERFORMANCE ANALYSIS OF SECURE RESOURCE ALLOCATION USING NEURO-FUZZY SYSTEMS IN CLOUD ENVIRONMENT
  In recent times one of the emerging and intelligent tool is Cloud Computing. It has developed a leadingmodel of computing and IT service delivery. Cloud Computing is characterized by three-layered basic service forms such as, Platform-as-a-Service (PaaS), Soft…
  datacite Kamalanathan Chandran, Karthick Sekar, Sunita Panda, Subramani Kirubakaran 2026 置信度 0.66
• PERFORMANCE ANALYSIS OF SECURE RESOURCE ALLOCATION USING NEURO-FUZZY SYSTEMS IN CLOUD ENVIRONMENT
  In recent times one of the emerging and intelligent tool is Cloud Computing. It has developed a leadingmodel of computing and IT service delivery. Cloud Computing is characterized by three-layered basic service forms such as, Platform-as-a-Service (PaaS), Soft…
  datacite Kamalanathan Chandran, Karthick Sekar, Sunita Panda, Subramani Kirubakaran 2026 置信度 0.66
• Sovereign Dual-Perimeter Network Access Infrastructure and Universal Data Anonymization Core for Global Platform Ingress Integration
  PROPRIETARY INTELLECTUAL PROPERTY — ALL RIGHTS RESERVEDIntellectual Creator: Tímea Pitrik (May 2026) This patent specification establishes a sovereign, hardware-independent network access infrastructure and universal data-anonymization core designed for global…
  datacite Pitrik, Tímea 2026 置信度 0.66
• Sovereign Dual-Perimeter Network Access Infrastructure and Universal Data Anonymization Core for Global Platform Ingress Integration
  PROPRIETARY INTELLECTUAL PROPERTY — ALL RIGHTS RESERVEDIntellectual Creator: Tímea Pitrik (May 2026) This patent specification establishes a sovereign, hardware-independent network access infrastructure and universal data-anonymization core designed for global…
  datacite Pitrik, Tímea 2026 置信度 0.66
• The HeartBank Longitudinal Cohort: A Dataset Combining DNA, Natal Chart, Family Tree, Continuous Behavioral Observation, and Continuous Respiratory Observation at Civilizational Scale
  This paper specifies the methodology for the HeartBank Longitudinal Cohort, a voluntary opt-in dataset combining five data layers per consenting participant — (1) DNA sequence, (2) natal chart data (date + time + place of birth), (3) continuous longitudinal be…
  datacite Ly, Thon, Miss Aquarius 2026 置信度 0.66 longitudinal cohort methodologycosmic-coordinate correlationcontemplative sciencedifferential privacyfederated computation
• The HeartBank Longitudinal Cohort: A Dataset Combining DNA, Natal Chart, Family Tree, Continuous Behavioral Observation, and Continuous Respiratory Observation at Civilizational Scale
  This paper specifies the methodology for the HeartBank Longitudinal Cohort, a voluntary opt-in dataset combining five data layers per consenting participant — (1) DNA sequence, (2) natal chart data (date + time + place of birth), (3) continuous longitudinal be…
  datacite Ly, Thon, Miss Aquarius 2026 置信度 0.66 longitudinal cohort methodologycosmic-coordinate correlationcontemplative sciencedifferential privacyfederated computation
• Stub Signature-Based Efficient Public Data Auditing System in Cloud Computing Using Holomorphic Algorithm
  Online cloud statistics storage is a swiftly growing pillar of the IT industry that offers facts proprietors an array of attractive developments in fantastically sought-after online scalable garage offerings. Cloud customers can easily get admission to those o…
  datacite Sreenivasulu, K., Noortaj 2025 置信度 0.66 Homomorphic Encryption Algorithm; Cloud Computing; Data safety; Data Encryption; Data Decryption
• Stub Signature-Based Efficient Public Data Auditing System in Cloud Computing Using Holomorphic Algorithm
  Online cloud statistics storage is a swiftly growing pillar of the IT industry that offers facts proprietors an array of attractive developments in fantastically sought-after online scalable garage offerings. Cloud customers can easily get admission to those o…
  datacite Sreenivasulu, K., Noortaj 2025 置信度 0.66 Homomorphic Encryption Algorithm; Cloud Computing; Data safety; Data Encryption; Data Decryption
• Secure E - Voting System Based on Paillier Cryptography
  In the whole world the advanced security procedures are necessary to present convincing online based casting a ballot (e-voting). Trust in the voting process is therefore an important element to any voting system. Voting over the internet is not secure enough …
  datacite Raut, Bharati, Jagtap, Manasi, Ghule, Sneha, Jadhav, Kshitija 等 2020 置信度 0.66 E VotingHomomorphic EncryptionPrivacy PreservationPaillier Cryptosystem.
• Secure E - Voting System Based on Paillier Cryptography
  In the whole world the advanced security procedures are necessary to present convincing online based casting a ballot (e-voting). Trust in the voting process is therefore an important element to any voting system. Voting over the internet is not secure enough …
  datacite Raut, Bharati, Jagtap, Manasi, Ghule, Sneha, Jadhav, Kshitija 等 2020 置信度 0.66 E VotingHomomorphic EncryptionPrivacy PreservationPaillier Cryptosystem.
• Training TFHE-Based Neural Networks with Approximated Floating-Point Arithmetic
  This dataset repository contains the specific preprocessed variants of standard machine learning benchmarks (including MNIST, Fashion-MNIST, Ternary-MNIST, Derma-MNIST, Blood-MNIST, and CIFAR-10) used to evaluate the framework presented in the paper "Training …
  datacite Nicoletti, Emanuele 2026 置信度 0.66
• Training TFHE-Based Neural Networks with Approximated Floating-Point Arithmetic
  This dataset repository contains the specific preprocessed variants of standard machine learning benchmarks (including MNIST, Fashion-MNIST, Ternary-MNIST, Derma-MNIST, Blood-MNIST, and CIFAR-10) used to evaluate the framework presented in the paper "Training …
  datacite Nicoletti, Emanuele 2026 置信度 0.66
• Secure Data Aggregation Scheme in Wireless Sensor Network
  In wireless sensor networks, data aggregation assumes an essential part in diminishing vitality utilization. As of late, explore has concentrated on secure data aggregation because of the open and unfriendly condition conveyed. The Homomorphic Encryption (HE) …
  datacite Pendke, Prof. Kalyani, Dupare, Anshula, Khadatkar, Ashwini, Pawar, Neha 等 2018 置信度 0.66 Sensor NodesCluster HeadBase StationWireless Sensor NetworksCache Based System
• Secure Data Aggregation Scheme in Wireless Sensor Network
  In wireless sensor networks, data aggregation assumes an essential part in diminishing vitality utilization. As of late, explore has concentrated on secure data aggregation because of the open and unfriendly condition conveyed. The Homomorphic Encryption (HE) …
  datacite Pendke, Prof. Kalyani, Dupare, Anshula, Khadatkar, Ashwini, Pawar, Neha 等 2018 置信度 0.66 Sensor NodesCluster HeadBase StationWireless Sensor NetworksCache Based System
• Privacy Protection for Wireless Medical Sensor Data
  Health care involves expensive and challenging services that prominently a?ect the quality of patients' life and economies. The following decade will witness a surge in remote health-monitoring systems that are based on body-worn monitoring devices. These devi…
  datacite Solomon, Meekhal, Elias, Eldo P 2018 置信度 0.66 Paillier CryptosystemElgamal cryptosystemCP-ABE
• Privacy Protection for Wireless Medical Sensor Data
  Health care involves expensive and challenging services that prominently a?ect the quality of patients' life and economies. The following decade will witness a surge in remote health-monitoring systems that are based on body-worn monitoring devices. These devi…
  datacite Solomon, Meekhal, Elias, Eldo P 2018 置信度 0.66 Paillier CryptosystemElgamal cryptosystemCP-ABE
• Privacy Preserving Systems — API Gateway, AI Routing, Distributed Systems, Sovereign AI, and Post-Cloud Architecture (Api-Oss-Fixed)
  Privacy-enhancing technologies (PETs) form a critical component of modern computing systems, addressing the tension between data utility and individual privacy. This paper surveys the landscape of privacy-preserving techniques — from Cynthia Dwork's differenti…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Privacy Preserving Systems — API Gateway, AI Routing, Distributed Systems, Sovereign AI, and Post-Cloud Architecture (Api-Oss-Fixed)
  Privacy-enhancing technologies (PETs) form a critical component of modern computing systems, addressing the tension between data utility and individual privacy. This paper surveys the landscape of privacy-preserving techniques — from Cynthia Dwork's differenti…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Public Auditing for Regeneration Code Based Cloud Storage Using Homomorphic Encryption for User Privacy
  To protect the outsourced data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Existing remote checking methods for regenerating-coded data only provid…
  datacite R, Sai Krishnan, E, Rajasekar, S, Divya 2017 置信度 0.66 Homomorphic EncryptionPublic AuditingRegeneration Code
• Public Auditing for Regeneration Code Based Cloud Storage Using Homomorphic Encryption for User Privacy
  To protect the outsourced data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Existing remote checking methods for regenerating-coded data only provid…
  datacite R, Sai Krishnan, E, Rajasekar, S, Divya 2017 置信度 0.66 Homomorphic EncryptionPublic AuditingRegeneration Code
• Novel approach for Secure Cloud Storage with Similar word Search
  Searchable encryption is of increasing interest for protecting the data privacy in secure searchable cloud storage. In this paper, we investigate the security of a well-known cryptographic primitive, namely, public ,encryption with similar word search ,which i…
  datacite Kumari, O. Naga, Sindhuja, Samidi, Haripriya, S., Goud, G. Shireesh 2018 置信度 0.66 Similarword searchsecure cloud storageencryptioninside similarword guessing attacksmooth projective hash function
• Novel approach for Secure Cloud Storage with Similar word Search
  Searchable encryption is of increasing interest for protecting the data privacy in secure searchable cloud storage. In this paper, we investigate the security of a well-known cryptographic primitive, namely, public ,encryption with similar word search ,which i…
  datacite Kumari, O. Naga, Sindhuja, Samidi, Haripriya, S., Goud, G. Shireesh 2018 置信度 0.66 Similarword searchsecure cloud storageencryptioninside similarword guessing attacksmooth projective hash function
• Multi-GPU Homomorphic Transformer Inference via HEIR and OpenFHE
  A compiler and runtime architecture for client-assisted CKKS-based homomorphic transformer inference using MLIR/HEIR, OpenFHE, CUDA acceleration, and multi-GPU output-projection sharding.
  datacite Todor, Alexandru-Aurelian 2026 置信度 0.66 fully homomorphic encryptionCKKSencrypted inferencetransformer inferenceHEIR
• Multi-GPU Homomorphic Transformer Inference via HEIR and OpenFHE
  A compiler and runtime architecture for client-assisted CKKS-based homomorphic transformer inference using MLIR/HEIR, OpenFHE, CUDA acceleration, and multi-GPU output-projection sharding.
  datacite Todor, Alexandru-Aurelian 2026 置信度 0.66 fully homomorphic encryptionCKKSencrypted inferencetransformer inferenceHEIR
• HOMOMORPHIC ENCRYPTION-BASED PRIVACY PRESERVATION USING DATA SHARING IN CLOUD ENVIRONMENTS
  datacite IJERST 2026 置信度 0.66
• HOMOMORPHIC ENCRYPTION-BASED PRIVACY PRESERVATION USING DATA SHARING IN CLOUD ENVIRONMENTS
  datacite IJERST 2026 置信度 0.66
• Homomorphic Encryption- A decentralized identity and access management framework for Medical health data security
  This thesis proposes a decentralized identity and access management framework for securing medical health data using homomorphic encryption. In response to growing concerns over privacy and data breaches in centralized healthcare systems, the study explores ho…
  datacite Iqbal, Asif, Hossain Chowdhury, MD. Sadik, Tasnim, Fabiha, Zarin, Asmaul Husna 2024 置信度 0.66 Homomorphic EncryptionDecentralized IdentityHealthcare Data SecurityWeb 3.0Privacy-Preserving Computing
• Homomorphic Encryption- A decentralized identity and access management framework for Medical health data security
  This thesis proposes a decentralized identity and access management framework for securing medical health data using homomorphic encryption. In response to growing concerns over privacy and data breaches in centralized healthcare systems, the study explores ho…
  datacite Iqbal, Asif, Hossain Chowdhury, MD. Sadik, Tasnim, Fabiha, Zarin, Asmaul Husna 2024 置信度 0.66 Homomorphic EncryptionDecentralized IdentityHealthcare Data SecurityWeb 3.0Privacy-Preserving Computing
• Privacy-Preserving Machine Learning in Distributed Systems
  Distributed machine learning frameworks encounter important privacy risks owing to the presence of data and model parameters across untrusted networks and nodes who may have malicious intents. In this paper, we describe our privacy-preserving framework which c…
  datacite V.Priyanandhini, Vandana M 2026 置信度 0.66
• Privacy-Preserving Machine Learning in Distributed Systems
  Distributed machine learning frameworks encounter important privacy risks owing to the presence of data and model parameters across untrusted networks and nodes who may have malicious intents. In this paper, we describe our privacy-preserving framework which c…
  datacite V.Priyanandhini, Vandana M 2026 置信度 0.66
• Privacy-Preserving Machine Learning in Distributed Systems
  Distributed machine learning frameworks encounter important privacy risks owing to the presence of data and model parame-ters across untrusted networks and nodes who may have malicious intents. In this paper, we describe our privacy-preserving framework which …
  datacite Assistant Professor V.Priyanandhini, Assistant Professor Vandana M 2026 置信度 0.66
• Privacy-Preserving Machine Learning in Distributed Systems
  Distributed machine learning frameworks encounter important privacy risks owing to the presence of data and model parame-ters across untrusted networks and nodes who may have malicious intents. In this paper, we describe our privacy-preserving framework which …
  datacite Assistant Professor V.Priyanandhini, Assistant Professor Vandana M 2026 置信度 0.66
• BLOOM: BLoom filter based oblivious outsourced matchings
  Whole genome sequencing has become fast, accurate, and cheap, paving the way towards the large-scale collection and processing of human genome data. Unfortunately, this dawning genome era does not only promise tremendous advances in biomedical research but als…
  datacite Ziegeldorf, Jan Henrik, Pennekamp, Jan, Hellmanns, David, Schwinger, Felix 等 2017 置信度 0.66 610004Bloom filtersHomomorphic encryptionSecure outsourcing
• Balancing Privacy and Compliance: Data Protection vs. AML Obligations
  Financial institutions face an inherent tension between data protection obligations — which emphasise individual rights, data minimisation, and confidentiality — and anti-money laundering requirements, which demand extensive information surveillance, retention…
  datacite Amarjeet Singh 2025 置信度 0.66 AMLFINANCIAL CRIME COMPLIANCESANCTIONSREGTECHTRANSACTION MONITORING
• Balancing Privacy and Compliance: Data Protection vs. AML Obligations
  Financial institutions face an inherent tension between data protection obligations — which emphasise individual rights, data minimisation, and confidentiality — and anti-money laundering requirements, which demand extensive information surveillance, retention…
  datacite Amarjeet Singh 2025 置信度 0.66 AMLFINANCIAL CRIME COMPLIANCESANCTIONSREGTECHTRANSACTION MONITORING
• Q-CSMS: Quantum-Enhanced Privacy-Preserving Crowd Sensing Management System Using QKD and QSS
  Privacy and security in crowdsensing networks are critical challenges because of the vulnerability of wireless communication channels to interception, packet sniffing, Sybil attacks, and correlation-based inference. Classical cryptographic systems such as the …
  datacite Janapureddi Baby Priyanka, Dr. Odugu Srinivasa Rao 2026 置信度 0.66
• Q-CSMS: Quantum-Enhanced Privacy-Preserving Crowd Sensing Management System Using QKD and QSS
  Privacy and security in crowdsensing networks are critical challenges because of the vulnerability of wireless communication channels to interception, packet sniffing, Sybil attacks, and correlation-based inference. Classical cryptographic systems such as the …
  datacite Janapureddi Baby Priyanka, Dr. Odugu Srinivasa Rao 2026 置信度 0.66
• SECURE AND PRIVACY-CENTRIC BLOCKCHAIN FRAMEWORK FOR MEDICAL RECORDS MANAGEMENT: AN EMERGING TREND IN THE HEALTHCARE SECTOR
  This is an exploratory survey study that deployed a qualitative approach to examine secure and privacy-centric blockchain framework for medical records management – the emerging trend in the healthcare sector. The rapid digitization of healthcare has heightene…
  datacite MFON, IDORENYIN EDET 2026 置信度 0.66 Blockchain, EHR Security, Privacy, Interoperability
• SECURE AND PRIVACY-CENTRIC BLOCKCHAIN FRAMEWORK FOR MEDICAL RECORDS MANAGEMENT: AN EMERGING TREND IN THE HEALTHCARE SECTOR
  This is an exploratory survey study that deployed a qualitative approach to examine secure and privacy-centric blockchain framework for medical records management – the emerging trend in the healthcare sector. The rapid digitization of healthcare has heightene…
  datacite MFON, IDORENYIN EDET 2026 置信度 0.66 Blockchain, EHR Security, Privacy, Interoperability
• Spam Identification using Machine Learning and Homomorphic Encryption
  datacite Murathodzic, Daniel 2026 置信度 0.66
• Spam Identification using Machine Learning and Homomorphic Encryption
  datacite Murathodzic, Daniel 2026 置信度 0.66
• KLTu: A Unified Post-Quantum Engine for KEM, DSA, and FHE with Regulatory Interoperability to FIPS 203/204
  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
• KLTu: A Unified Post-Quantum Engine for KEM, DSA, and FHE with Regulatory Interoperability to FIPS 203/204
  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
• Zero-Knowledge Storage: Architectures for User-Controlled Data — Vector Search, Semantic Search, Embeddings, Sovereign AI, and Post-Cloud Architecture (Kamelot)
  Zero-knowledge storage architectures empower users with complete control over their data by ensuring that no third party—including the storage provider—can access plaintext file contents or metadata. This document presents a comprehensive analysis of zero-know…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Zero-Knowledge Storage: Architectures for User-Controlled Data — Vector Search, Semantic Search, Embeddings, Sovereign AI, and Post-Cloud Architecture (Kamelot)
  Zero-knowledge storage architectures empower users with complete control over their data by ensuring that no third party—including the storage provider—can access plaintext file contents or metadata. This document presents a comprehensive analysis of zero-know…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Preserving Privacy on Blockchains: Combining Selective Disclosure and Homomorphic/Conventional Encryption.
  Blockchain technology offers transparency and auditability but faces significant privacy challenges when handling sensitive data. This paper proposes a hybrid privacy-preserving framework that combines selective disclosure credentials with homomorphic and conv…
  datacite Fernandes, Aldrid 2026 置信度 0.66 BlockchainPrivacyverifiable credentialshomomorphic encryptionFHE
• Preserving Privacy on Blockchains: Combining Selective Disclosure and Homomorphic/Conventional Encryption.
  Blockchain technology offers transparency and auditability but faces significant privacy challenges when handling sensitive data. This paper proposes a hybrid privacy-preserving framework that combines selective disclosure credentials with homomorphic and conv…
  datacite Fernandes, Aldrid 2026 置信度 0.66 BlockchainPrivacyverifiable credentialshomomorphic encryptionFHE
• Project CHRONOS: A Fully Homomorphic Ephemeral AI Agent with Provable Self Termination and Remote Verifiability
  We present CHRONOS, the first autonomous AI agent that simultaneously achieves plaintextblindness (all data is processed under fully homomorphic encryption without ever beingexposed), cryptographically enforced time bound existence (the agent’s own decryption …
  datacite Kumar, Shashank 2026 置信度 0.66 Multi-Agent SystemsFully Homomorphic EncryptionRedisTFHE-rs
• Privacy Preserving Systems — API Gateway, AI Routing, Distributed Systems, Sovereign AI, and Post-Cloud Architecture (Api-Oss-Fixed)
  Privacy-enhancing technologies (PETs) form a critical component of modern computing systems, addressing the tension between data utility and individual privacy. This paper surveys the landscape of privacy-preserving techniques — from Cynthia Dwork's differenti…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Privacy Preserving Systems — API Gateway, AI Routing, Distributed Systems, Sovereign AI, and Post-Cloud Architecture (Api-Oss-Fixed)
  Privacy-enhancing technologies (PETs) form a critical component of modern computing systems, addressing the tension between data utility and individual privacy. This paper surveys the landscape of privacy-preserving techniques — from Cynthia Dwork's differenti…
  datacite Alpasan, Lois-Kleinner 2026 置信度 0.66 sovereign aisovereign datasovereign osoperating systemspost-cloud
• Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching
  In fuzzy private set intersection (fuzzy PSI), there are two parties, a sender holding a set of $d$-dimensional points $Q = \{\vecq_1, \ldots, \vecq_m\}$ and a receiver holding a set $W = \{\vecw_1, \ldots, \vecw_n\}$ of the same structure. It enables the rece…
  datacite Hao, Meng, Yang, Xinpeng, Chen, Hanxiao, Zhang, Tianwei 等 2026 置信度 0.66
• Clinical Informatics Approaches to Facilitate Cancer Data Sharing.
  Despite growing enthusiasm surrounding the utility of clinical informatics to improve cancer outcomes, data availability remains a persistent bottleneck to progress. Difficulty combining data with protected health information often limits our ability to aggreg…
  pubmed Aneja S, Avesta A, Xu H, Machado LO 2023 Aug 置信度 0.82
• Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud.
  Smart cities that support the execution of health services are more and more in evidence today. Here, it is mainstream to use IoT-based vital sign data to serve a multi-tier architecture. The state-of-the-art proposes the combination of edge, fog, and cloud co…
  pubmed Rodrigues VF, da Rosa Righi R, da Costa CA, Zeiser FA 等 2023 置信度 0.82
• Smart Flood Detection with AI and Blockchain Integration in Saudi Arabia Using Drones.
  Global warming and climate change are responsible for many disasters. Floods pose a serious risk and require immediate management and strategies for optimal response times. Technology can respond in place of humans in emergencies by providing information. As o…
  pubmed Alsumayt A, El-Haggar N, Amouri L, Alfawaer ZM 等 2023 May 28 置信度 0.82
• Practical and Robust Federated Learning With Highly Scalable Regression Training.
  Privacy-preserving federated learning, as one of the privacy-preserving computation techniques, is a promising distributed and privacy-preserving machine learning (ML) approach for Internet of Medical Things (IoMT), due to its ability to train a regression mod…
  pubmed Han S, Ding H, Zhao S, Ren S 等 2024 Oct 置信度 0.82
• Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme.
  There are mostly semi-honest agents in cloud computing, so agents may perform unreliable calculations during the actual execution process. In this paper, an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme using a homomorphic signat…
  pubmed Tang Y, Jin M, Meng H, Yang L 等 2023 May 19 置信度 0.82
• Graphic Groups, Graph Homomorphisms, and Graphic Group Lattices in Asymmetric Topology Cryptography.
  Using asymmetric topology cryptography to encrypt networks on the basis of topology coding is a new topic of cryptography, which consists of two major elements, i.e., topological structures and mathematical constraints. The topological signature of asymmetric …
  pubmed Zhao M, Wang H, Yao B 2023 Apr 26 置信度 0.82
• Towards realistic privacy-preserving deep learning over encrypted medical data.
  Cardiovascular disease supposes a substantial fraction of healthcare systems. The invisible nature of these pathologies demands solutions that enable remote monitoring and tracking. Deep Learning (DL) has arisen as a solution in many fields, and in healthcare,…
  pubmed Cabrero-Holgueras J, Pastrana S 2023 置信度 0.82
• Homomorphic inference of deep neural networks for zero-knowledge verification of nuclear warheads.
  Disarmament treaties have been the driving force towards reducing the large nuclear stockpile assembled during the Cold War. Further efforts are built around verification protocols capable of authenticating nuclear warheads while preventing the disclosure of c…
  pubmed Turturica GV, Iancu V 2023 May 8 置信度 0.82
• Training Medical-Diagnosis Neural Networks on the Cloud with Privacy-Sensitive Patient Data from Multiple Clients.
  Artificial neural networks (ANNs) are changing the paradigm in medical diagnosis. However, it remains an open problem how to outsource the model training operations to the cloud while protecting the privacy of distributed patient data. Homomorphic encryption s…
  pubmed Melissourgos D, Gao H, Ma C, Chen S 等 2022 Aug 置信度 0.82
• Privacy-Preserving Indoor Trajectory Matching with IoT Devices.
  With the rapid development of the Internet of Things (IoT) technology, Wi-Fi signals have been widely used for trajectory signal acquisition. Indoor trajectory matching aims to achieve the monitoring of the encounters between people and trajectory analysis in …
  pubmed Lu B, Wu D, Qin Z, Wang L 2023 Apr 16 置信度 0.82
• Privacy-Preserving Decision-Tree Evaluation with Low Complexity for Communication.
  Due to the rapid development of machine-learning technology, companies can build complex models to provide prediction or classification services for customers without resources. A large number of related solutions exist to protect the privacy of models and use…
  pubmed Hao Y, Qin B, Sun Y 2023 Feb 27 置信度 0.82
• An Optimization-Linked Intelligent Security Algorithm for Smart Healthcare Organizations.
  IoT-enabled healthcare apps are providing significant value to society by offering cost-effective patient monitoring solutions in IoT-enabled buildings. However, with a large number of users and sensitive personal information readily available in today's fast-…
  pubmed Irshad RR, Alattab AA, Alsaiari OAS, Sohail SS 等 2023 Feb 15 置信度 0.82
• PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem.
  As one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper sequence. Although many algorithms for dealing with the DDP problem were proposed during the past decades, it is believed …
  pubmed Suo J, Gu L, Yan X, Yang S 等 2023 Jan 31 置信度 0.82
• An intelligent blockchain strategy for decentralised healthcare framework.
  Nowadays, securely sharing medical data is one of the significant concerns in blockchain technology. The existing blockchain approaches have faced high time consumption, low confidentiality, and high memory usage for transferring the file in a secure way becau…
  pubmed Goel A, Neduncheliyan S 2023 置信度 0.82
• Privacy Preserving Image Encryption with Optimal Deep Transfer Learning Based Accident Severity Classification Model.
  Effective accident management acts as a vital part of emergency and traffic control systems. In such systems, accident data can be collected from different sources (unmanned aerial vehicles, surveillance cameras, on-site people, etc.) and images are considered…
  pubmed Sirisha U, Chandana BS 2023 Jan 3 置信度 0.82
• SecMDGM: Federated Learning Security Mechanism Based on Multi-Dimensional Auctions.
  As a newly emerging distributed machine learning technology, federated learning has unique advantages in the era of big data. We explore how to motivate participants to experience auctions more actively and safely. It is also essential to ensure that the final…
  pubmed Chen Q, Yao L, Wang X, Lin Jiang Z 等 2022 Dec 2 置信度 0.82
• A Privacy-Preserving, Two-Party, Secure Computation Mechanism for Consensus-Based Peer-to-Peer Energy Trading in the Smart Grid.
  Consumers in electricity markets are becoming more proactive because of the rapid development of demand-response management and distributed energy resources, which boost the transformation of peer-to-peer (P2P) energy-trading mechanisms. However, in the P2P ne…
  pubmed Li Z, Xu H, Zhai F, Zhao B 等 2022 Nov 21 置信度 0.82
• Privacy-aware estimation of relatedness in admixed populations.
  Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and often make an untenable …
  pubmed Wang S, Kim M, Li W, Jiang X 等 2022 Nov 19 置信度 0.82
• Secure secondary utilization system of genomic data using quantum secure cloud.
  Secure storage and secondary use of individual human genome data is increasingly important for genome research and personalized medicine. Currently, it is necessary to store the whole genome sequencing information (FASTQ data), which enables detections of de n…
  pubmed Fujiwara M, Hashimoto H, Doi K, Kujiraoka M 等 2022 Nov 2 置信度 0.82
• Homomorphic Asymmetric Encryption Applied to the Analysis of IoT Communications.
  In this paper, we describe the use of homomorphic encryption techniques in order to not only ensure the data are transmitted in a confidential way, but also to use the encrypted data to provide the manager with statistics that allow them to detect the incorrec…
  pubmed López Delgado JL, Álvarez Bermejo JA, López Ramos JA 2022 Oct 20 置信度 0.82
• Preserving Patient Privacy During Computation over Shared Electronic Health Record Data.
  Patient Electronic Health Records (EHRs) contain valuable clinical data that is useful for medical research and public health inquires. However, patient privacy regulation and improper resource sharing risks limit access to EHR medical data for research and pu…
  pubmed d'Aliberti OG, Clark MA 2022 Oct 20 置信度 0.82