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• A Review on Searchable Encryption Functionality and the Evaluation of Homomorphic Encryption
  Cloud Service Providers, exemplified by industry leaders like Google Cloud Platform, Microsoft Azure, and Amazon Web Services, deliver a dynamic array of cloud services in an ever-evolving landscape. This sector is witnessing substantial growth, with enterpris…
  crossref Brian Kishiyama, Izzat Alsmadi 2024-03-21T07:37:41Z 置信度 0.70
• Secure Folder Encryption Using Homomorphic Encryption with Microsoft SEAL
  crossref Goutham J R, Chethan Venkatesh 2025-04-28T17:31:11Z 置信度 0.70
• Encrypted Control Systems with Fully Homomorphic Encryption
  crossref Jose Barbosa, Ping Zhang 2025-10-14T17:38:09Z 置信度 0.70
• Introduction
  crossref Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger 2021-09-29T19:04:24Z 置信度 0.70
• Securing Vehicular Adhoc Networks (Vanets) Using Homomorphic Encryption
  crossref Adnan Shahid Khan, Dr. Irshad Ahmed Abbasi, Kashif Nisar 2024-05-06T14:44:17Z 置信度 0.70
• Certificateless Fully Homomorphic Encryption Based on LWE Problem
  crossref Yan Guang, Chun-xiang Gu, Yue-fei Zhu, Yong-hui Zheng 等 2014-02-13T09:00:54Z 置信度 0.70
• Fully Homomorphic Distributed Identity-based Encryption Resilient to Continual Auxiliary Input Leakage
  crossref François Gérard, Veronika Kuchta, Rajeev Anand Sahu, Gaurav Sharma 等 2018-08-07T09:41:13Z 置信度 0.70
• A Fully Homomorphic Encryption Library Over Integers with Homomorphic Division
  crossref Zhanerke Temirbekova, Myrzakul Zhansaya, Zhumakyn Aitulek, Ualikhan Shokan 2026-07-14T19:38:14Z 置信度 0.70
• Paillier Algorithm
  crossref Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger 2021-09-29T15:04:24Z 置信度 0.70
• An Efficient Enhanced Full Homomorphic Encryption For Securing Video In Cloud Environment
  Abstract At present days, exponential growth in the transmission of multimedia data takes place due to a significant rise in network bandwidth and video image compression technologies. However, the transmission of videos over wireless channels often brings an …
  europepmc Geetha N, Mahesh K 2021 置信度 0.80
• Benaloh Algorithm
  crossref Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger 2021-09-29T19:04:24Z 置信度 0.70
• FHE Compute Engines: From Schemes to Silicon, a Systematization of the Fully Homomorphic Encryption Stack
  Fully homomorphic encryption (FHE) allows arbitrary computation directly on encrypted data and is a foundational primitive for confidential computing, privacy-preserving machine learning, and encrypted-state blockchains. A decade after the first bootstrapping-…
  crossref Yasir Albayati 2026-07-31T13:57:03Z 置信度 0.70
• Securing Medical Data Using Fully Homomorphic Encryption
  crossref Anita Chaudhari, Rajesh Bansode 2020-05-05T08:21:52Z 置信度 0.70
• Comparative Analysis of Verification Techniques in Homomorphic Encryption -Based E-Voting
  crossref Pragyan Sinha, Nishant Kumar, Piyush Aggarwal 2025-05-28T21:15:30Z 置信度 0.70
• Introduction
  crossref Stefania Loredana Nita, Marius Iulian Mihailescu 2023-09-26T09:02:55Z 置信度 0.70
• PRIVACY PRESERVING CRYPTANALYSIS USING HOMOMORPHIC ENCRYPTION IN IOT
  crossref 2020-03-16T06:50:01Z 置信度 0.70
• Securing Iris Recognition with Fully Homomorphic Encryption: Dimensionality Reduction in Iris Codes.
  europepmc 2026 置信度 0.80
• A Hierarchical Benchmarking Framework for Homomorphic Encryption-Based Aggregation and Validation Using Real Smart Meter Data
  Homomorphic encryption (HE) enables computation on encrypted data and has emerged as a promising technology for privacy-preserving distributed analytics. However, the practical deployment of HE in large-scale hierarchical systems requires a thorough understand…
  europepmc Aiman Ahmad Shivani, Marzia Zaman, Pirathayini Srikantha, Darshana Upadhyay 等 2026 置信度 0.80
• Homomorphic Encryption: An Application to Polygenic Risk Scores
  1 Abstract Background Polygenic risk scores (PRSs) have emerged as a powerful tool in precision medicine, enabling personalized risk assessments for complex diseases. However, the use of sensitive genomic data in PRS calculations raises concerns about privacy …
  europepmc Elizabeth Knight, Jiaqi Li, Matthew Jensen, Israel Yolou 等 2024 置信度 0.80
• Private Detection of Relatives in Forensic Genomics using Homomorphic Encryption
  Abstract Background: Forensic analysis heavily relies on DNA analysis techniques, notably autosomal Single Nucleotide Polymorphisms (SNPs), to expedite the identification of unknown suspects through genomic database searches. However, the uniqueness of an indi…
  europepmc Fillipe Dias Moreira de Souza, Hubert de Lassus, Ro Cammarota 2024 置信度 0.80
• Share to Gain: Collaborative Learning with Dynamic Membership via Multi-Key Homomorphic Encryption
  Abstract In this manuscript, we develop a multi-party framework tailored for multiple data contributors seeking machine learning insights from combined data sources. Grounded in statistical learning principles, we introduce the Multi-Key Homomorphic Encryption…
  europepmc David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee 等 2023 置信度 0.80
• Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks.
  U-shaped networks have become prevalent in various medical image tasks such as segmentation, and restoration. However, most existing U-shaped networks rely on centralized learning which raises privacy concerns. To address these issues, federated learning (FL) …
  pubmed Yang Z, Chen Y, Huangfu H, Ran M 等 2023 置信度 0.82
• Fractal-Based Hybrid Cryptosystem: Enhancing Image Encryption with RSA, Homomorphic Encryption, and Chaotic Maps.
  Protecting digital data, especially digital images, from unauthorized access and malicious activities is crucial in today's digital era. This paper introduces a novel approach to enhance image encryption by combining the strengths of the RSA algorithm, homomor…
  pubmed Mfungo DE, Fu X 2023 置信度 0.82
• Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC).
  The outreach of healthcare services is a challenge to remote areas with affected populations. Fortunately, remote health monitoring (RHM) has improved the hospital service quality and has proved its sustainable growth. However, the absence of security may brea…
  pubmed Sheu RK, Lin YC, Pardeshi MS, Huang CY 等 2023 置信度 0.82
• Efficient and Secure Optimized Homomorphic Encryption (OHE) Securing Sensitive Images Data in the Age of Cloud Computing
  Abstract The goal of the project is to create a cutting-edge picture encryption technique that can be used to significantly boost the security of encrypted photographs. Since visible electromagnetic spectrum pictures are a difficulty, we provide an ideal homom…
  europepmc Revati Raman Dewangan, Sunita Soni, Ashish Misal 2023 置信度 0.80
• Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm.
  This article endeavors to delve into the conceptualization of a digital marketing framework grounded in consumer data and homomorphic encryption. The methodology entails employing GridSearch to harmonize and store the leaf nodes acquired post-training of the C…
  pubmed Cui J, Jiang H, Xu Z 2023 置信度 0.82
• Training of Classification Models via Federated Learning and Homomorphic Encryption.
  With the rise of social networks and the introduction of data protection laws, companies are training machine learning models using data generated locally by their users or customers in various types of devices. The data may include sensitive information such …
  pubmed Angulo E, Márquez J, Villanueva-Polanco R 2023 置信度 0.82
• Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients.
  Swarm Learning (SL) is a promising approach to perform the distributed and collaborative model training without any central server. However, data sensitivity is the main concern for privacy when collaborative training requires data sharing. A neural network, e…
  pubmed Madni HA, Umer RM, Foresti GL 2023 置信度 0.82
• Privacy-preserving cancer type prediction with homomorphic encryption.
  Cancer genomics tailors diagnosis and treatment based on an individual's genetic information and is the crux of precision medicine. However, analysis and maintenance of high volume of genetic mutation data to build a machine learning (ML) model to predict the …
  pubmed Sarkar E, Chielle E, Gursoy G, Chen L 等 2023 置信度 0.82
• HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications.
  The swift advancement of the Internet of Things (IoT), coupled with the growing application of healthcare software in this area, has given rise to significant worries about the protection and confidentiality of critical health data. To address these challenges…
  pubmed Ali A, Al-Rimy BAS, Alsubaei FS, Almazroi AA 2023 置信度 0.82
• Molybdenum-based Metallic Cluster-type Memristor exhibiting Stochastic Switching and Analog-state Programmable Characteristics and its Utilization for Homomorphic Encryption Hardware
  europepmc 2024 置信度 0.80
• Pipelined Key Switching Accelerator Architecture for CKKS-Based Fully Homomorphic Encryption.
  The increasing ubiquity of big data and cloud-based computing has led to increased concerns regarding the privacy and security of user data. In response, fully homomorphic encryption (FHE) was developed to address this issue by enabling arbitrary computation o…
  pubmed Duong PN, Lee H 2023 置信度 0.82
• Efficient and Privacy-Preserving Image Classification Using Homomorphic Encryption and Chunk-based Convolutional Neural Network
  Abstract Image feature categorization has emerged as a crucial component in many domains, including computer vision, machine learning, and biometrics, in the dynamic environment of big data and cloud computing. It is extremely difficult to guarantee image data…
  europepmc Huixue Jia, Daomeng Cai, Jie Yang, Weidong Qian 等 2023 置信度 0.80
• HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries
  Abstract Fully Homomorphic Encryption (FHE) allows computation on encrypted data. Various software libraries have implemented the approximate-arithmetic FHE scheme CKKS, which is highly useful for applications in machine learning and data analytics; each of th…
  europepmc Jonathan Takeshita, Nirajan Koirala, Colin McKechney, Taeho Jung 2022 置信度 0.80
• HEIDA: Software Examples for Rapid Introduction of Homomorphic Encryption for Privacy Preservation of Health Data.
  Adequate privacy protection is crucial for implementing modern AI algorithms in medicine. With Fully Homomorphic Encryption (FHE), a party without access to the secret key can perform calculations and advanced analytics on encrypted data without taking part of…
  pubmed Brännvall R, Forsgren H, Linge H 2023 置信度 0.82
• Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning.
  Active learning is a technique for maximizing performance of machine learning with minimal labeling effort and letting the machine automatically and adaptively select the most informative data for labeling. Since the labels on records may contain sensitive inf…
  pubmed Hendra Kurniawan, Masahiro Mambo, Kurniawan H, Mambo M 2022 置信度 0.82
• Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks.
  By definition, the aggregating methodology ensures that transmitted data remain visible in clear text in the aggregated units or nodes. Data transmission without encryption is vulnerable to security issues such as data confidentiality, integrity, authenticatio…
  pubmed Kumar M, Sethi M, Rani S, Sah DK 等 2023 置信度 0.82
• Research on medical data security sharing scheme based on homomorphic encryption.
  With the deep integration of "AI + medicine", AI-assisted technology has been of great help to human beings in the medical field, especially in the area of predicting and diagnosing diseases based on big data, because it is faster and more accurate. However, c…
  pubmed Guo L, Gao W, Cao Y, Lai X 2023 置信度 0.82
• Is Homomorphic Encryption-Based Deep Learning Secure Enough?
  As the amount of data collected and analyzed by machine learning technology increases, data that can identify individuals is also being collected in large quantities. In particular, as deep learning technology-which requires a large amount of analysis data-is …
  pubmed Shin J, Choi SH, Choi YH 2021 置信度 0.82
• Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images.
  Medical healthcare centers are envisioned as a promising paradigm to handle the massive volume of data for COVID-19 patients using artificial intelligence (AI). Traditionally, AI techniques require centralized data collection and training models within a singl…
  pubmed Kumar R, Kumar J, Khan AA, Zakria 等 2022 置信度 0.82
• Blockchain Data Secure Transmission Method Based on Homomorphic Encryption.
  To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through h…
  pubmed Peng S, Cai Z, Liu W, Wang W 等 2022 置信度 0.82
• TriNymAuth: Triple Pseudonym Authentication Scheme for VANETs Based on Cuckoo Filter and Paillier Homomorphic Encryption.
  In VANETs, owing to the openness of wireless communication, it is necessary to change pseudonyms frequently to realize the unlinkability of vehicle identity. Moreover, identity authentication is needed, which is usually completed by digital certificates or a t…
  pubmed Zhuang L, Guo N, Chen Y 2023 置信度 0.82
• Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.
  The Internet of medical things is enhancing smart healthcare services using physical wearable sensor-based devices connected to the Internet. Machine learning techniques play an important role in the core of these services for remotely consulting patients than…
  pubmed Pham CH, Huynh-The T, Sedgh-Gooya E, El-Bouz M 等 2024 置信度 0.82
• Secure Approximate String Matching using Homomorphic Encryption for Privacy-preserving Record Linkage
  String matching is an important part in many real world applications. It must robust against variations in string field. In record linkage for two different datasets matching should detect two patients in common in spite of small variations. But it becomes dif…
  europepmc Shahidul Islam Khan, Rakib Hosen, Iqbal Hossain 2022 置信度 0.80
• Privacy-preserving genotype imputation with fully homomorphic encryption.
  Genotype imputation is the inference of unknown genotypes using known population structure observed in large genomic datasets; it can further our understanding of phenotype-genotype relationships and is useful for QTL mapping and GWASs. However, the compute-in…
  pubmed Gürsoy G, Chielle E, Brannon CM, Maniatakos M 等 2022 置信度 0.82
• Attribute-Based Adaptive Homomorphic Encryption for Big Data Security.
  There is a drastic increase in Internet usage across the globe, thanks to mobile phone penetration. This extreme Internet usage generates huge volumes of data, in other terms, big data. Security and privacy are the main issues to be considered in big data mana…
  pubmed Thenmozhi R, Shridevi S, Mohanty SN, García-Díaz V 等 2024 置信度 0.82
• Secure tumor classification by shallow neural network using homomorphic encryption.
  Disclosure of patients' genetic information in the process of applying machine learning techniques for tumor classification hinders the privacy of personal information. Homomorphic Encryption (HE), which supports operations between encrypted data, can be used …
  pubmed Hong S, Park JH, Cho W, Choe H 等 2022 置信度 0.82
• PAF-FHE: Low-Cost Accurate Non-Polynomial Operator Polynomial Approximation in Fully Homomorphic Encryption Based ML Inference
  Abstract Machine learning (ML) is getting more pervasive. Wide adoption of ML in healthcare, facial recognition, and blockchain involves private and sensitive data. One of the most promising candidates for inference on encrypted data, termed Fully Homomorphic …
  europepmc Jingtian Dang, Jianming Tong, Anupam Golder, Arijit Raychowdhury 等 2023 置信度 0.80
• EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting.
  We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over FHE-compatible neural networks with our own open-source framework and reproducible examples. We use the fourth gen…
  pubmed Onoufriou G, Hanheide M, Leontidis G 2022 置信度 0.82
• A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach.
  Personal health records (PHR) represent health data managed by a specific individual. Traditional solutions rely on centralized architectures to store and distribute PHR, which are more vulnerable to security breaches. To address such problems, distributed net…
  pubmed Vanin FNDS, Policarpo LM, Righi RDR, Heck SM 等 2022 置信度 0.82
• Privacy preserving IoT-based crowd-sensing network with comparable homomorphic encryption and its application in combating COVID19.
  IoT-based crowd-sensing network, which aims to achieve data collection and task allocation to mobile users, become more and more popular in recent years. This data collected by IoT devices may be private and directly transmission of these data maybe incur priv…
  pubmed Huang D, Gan Q, Wang X, Ogiela MR 等 2022 置信度 0.82
• Privacy preserving on personalized medical data in cloud IoT using Extended Fully Homomorphic Encryption
  Abstract Transition of healthcare to digital platforms is necessary for the present era to provide a better diagnosis with reduced operational cost. Digital platform makes the patient data available in an appropriate time. Cloud computing in health care applic…
  europepmc Pradeep Bedi, S B Goyal 2022 置信度 0.80
• An Augmented Salp-swarm Optimization Based on Paillier Federated Multi-layer Perceptron (Pf-mlp) and Homomorphic Encryption Standard (Hes) Techniques for Data Security in Cloud Systems
  Abstract Providing security to cloud data is one of the essential problems that have needed to be addressed in recent times due to the advancement and development of security breaches in technologies. As a result, the majority of existing research efforts aim …
  europepmc Kanakasabapathi R S, J.E. Judith 2023 置信度 0.80
• Multicenter Privacy-Preserving Cox Analysis Based on Homomorphic Encryption.
  The Cox proportional hazards model is one of the most widely used methods for analyzing survival data. Data from multiple data providers are required to improve the generalizability and confidence of the results of Cox analysis; however, such data sharing may …
  pubmed Lu Y, Tian Y, Zhou T, Zhu S 等 2021 置信度 0.82
• Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation.
  Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing genotypes of nearby "tag" variants. Although researchers can outsource genotype imputation, privacy concerns may prohibit genet…
  pubmed Kim M, Harmanci AO, Bossuat JP, Carpov S 等 2021 置信度 0.82
• Achieving GWAS with homomorphic encryption.
  One way of investigating how genes affect human traits would be with a genome-wide association study (GWAS). Genetic markers, known as single-nucleotide polymorphism (SNP), are used in GWAS. This raises privacy and security concerns as these genetic markers ca…
  pubmed Sim JJ, Chan FM, Chen S, Meng Tan BH 等 2020 置信度 0.82
• IT Security techniques � Encryption algorithms
  crossref 2019-05-07T20:31:00Z 置信度 0.70
• Exploring Homomorphic Encryption with Python
  Homomorphic encryption is a powerful cryptographic technique that allows computations to be performed on encrypted data without decrypting it first. This blog post will introduce the concept of homomorphic encryption and demonstrate implementations using Pytho…
  crossref Abhishek Tiwari 2024-10-31T04:04:07Z 置信度 0.70
• Fully Homomorphic Encryption in Production Systems
  In this living document, I will list all production systems I'm aware of that use fully homomorphic encryption (FHE). For background on FHE, see my overview of the field. If you have any information about production FHE systems not in this list, or corrections…
  crossref Jeremy Kun 2025-12-08T19:46:28Z 置信度 0.70
• Fully Homomorphic Encryption and the Public
  In this living document, I will document reactions to uses of homomorphic encryption by members of the public. By "member of the public," I mean people who may be technical, but are not directly involved in the development or deployment of homomorphic encrypti…
  crossref Jeremy Kun 2025-12-08T19:45:50Z 置信度 0.70
• Multi-key Fully Homomorphic Encryption without CRS from RLWE
  Fully Homomorphic Encryption (FHE) is a powerful encryption system in cloud computing that allows homomorphic computations on encrypted data without decrypting them. Multi-key fully homomorphic encryption (MFHE), as an extension to FHE, allows homomorphic comp…
  crossref Fucai Luo 2022-11-24T12:24:58Z 置信度 0.70
• Google's Fully Homomorphic Encryption Compiler — A Primer
  Back in May of 2022 I transferred teams at Google to work on Fully Homomorphic Encryption (newsletter announcement). Since then I've been working on a variety of projects in the space, including being the primary maintainer on github.com/google/fully-homomorph…
  crossref Jeremy Kun 2025-12-08T19:55:38Z 置信度 0.70
• Bicyclic Matrix-Matrix Multiplication in Fully Homomorphic Encryption
  In an earlier article, I covered the basic technique for performing matrix-vector multiplication in fully homomorphic encryption (FHE), known as the Halevi-Shoup diagonal method. This article covers a more recent method for matrix-matrix multiplication known a…
  crossref Jeremy Kun 2025-11-17T17:12:47Z 置信度 0.70
• Packing Matrix-Vector Multiplication in Fully Homomorphic Encryption
  In my recent overview of homomorphic encryption, I underemphasized the importance of data layout when working with arithmetic (SIMD-style) homomorphic encryption schemes. In the FHE world, the name given to data layout strategies is called "packing," because i…
  crossref Jeremy Kun 2025-12-08T19:46:12Z 置信度 0.70
• Fast and secure selective homomorphic encryption for federated learning
  Federated learning (FL) enables collaborative model training among data providers without sharing raw data. However, model updates remain vulnerable to attacks such as model inversion and gradient leakage. Fully homomorphic encryption (FHE) ensures strong conf…
  crossref Abdulkadir Korkmaz 2026-08-19T21:08:26Z 置信度 0.70
• Advancing Privacy and Accuracy with Federated Learning and Homomorphic Encryption
  In this paper, we present an integrated framework that combines Federated Learning (FL) with Homomorphic Encryption (HE) using the Artificial Intelligence (AI) models and the Cheon-Kim-Kim-Song (CKKS) algorithm to address the challenges of privacy and accuracy…
  crossref Tuy Nguyen 2023-08-22T23:04:22Z 置信度 0.70
• Homomorphic Encryption
  crossref Ninghui Li 2018-12-06T13:00:39Z 置信度 0.70
• A High-Level Technical Overview of Fully Homomorphic Encryption
  About two years ago, I switched teams at Google to focus on fully homomorphic encryption (abbreviated FHE, or sometimes HE). Since then I've got to work on a lot of interesting projects, learning along the way about post-quantum cryptography, compiler design, …
  crossref Jeremy Kun 2025-12-08T19:46:51Z 置信度 0.70
• Collaborative calculation and application of interreal and real interval relations to protect privacy.
  The determination of the relation between a number and a numerical interval is one of the core problems in the scientific calculation of privacy protection. The calculation of the relationship between two numbers and a numerical interval to protect privacy is …
  pubmed Lu S, Lu Y, Sun Y 2021 置信度 0.82
• A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine.
  europepmc 2023 置信度 0.80
• Federated learning for 6G-enabled secure communication systems: a comprehensive survey.
  europepmc 2023 置信度 0.80
• Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms.
  Privacy-preserving techniques allow private information to be used without compromising privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) algorithm, cannot perform computational operations on encrypted data without first apply…
  pubmed Hamza R, Hassan A, Ali A, Bashir MB 等 2022 置信度 0.82
• Security and Privacy in Distributed Health Care Environments.
  europepmc 2022 置信度 0.80
• Privacy-Preserving Artificial Intelligence Techniques in Biomedicine.
  europepmc 2022 置信度 0.80
• E-DPNCT: an enhanced attack resilient differential privacy model for smart grids using split noise cancellation.
  europepmc 2023 置信度 0.80
• A New Quantum Private Protocol for Set Intersection Cardinality Based on a Quantum Homomorphic Encryption Scheme for Toffoli Gate.
  Set Intersection Cardinality (SI-CA) computes the intersection cardinality of two parties' sets, which has many important and practical applications such as data mining and data analysis. However, in the face of big data sets, it is difficult for two parties t…
  pubmed Liu W, Li Y, Wang Z 2023 置信度 0.82
• Efficient Privacy-Preserving <i>K</i>-Means Clustering from Secret-Sharing-Based Secure Three-Party Computation.
  europepmc 2022 置信度 0.80
• An Evaluation of Power Side-Channel Resistance for RNS Secure Logic.
  europepmc 2022 置信度 0.80
• Encrypt with Your Mind: Reliable and Revocable Brain Biometrics via Multidimensional Gaussian Fitted Bit Allocation.
  europepmc 2023 置信度 0.80
• A Survey On Secure Machine Learning
  In this survey, we will explore the interaction between secure multiparty computation and the area of machine learning. Recent advances in secure multiparty computation (MPC) have significantly improved its applicability in the realm of machine learning (ML), …
  datacite Liao, Taobo, Li, Taoran, Nadkarni, Prathamesh 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
• SviaB: Secure and verifiable multi‐instance iris remote authentication using blockchain
  IET BiometricsVolume 11, Issue 1 p. 35-50 ORIGINAL RESEARCH PAPEROpen Access SviaB: Secure and verifiable multi-instance iris remote authentication using blockchain Mahesh Kumar Morampudi, Corresponding Author Mahesh Kumar Morampudi morampudimahesh@gmail.com D…
  datacite Mahesh Kumar Morampudi, Munaga V. N. K. Prasad, Surya Narayana Raju Undi 2021 置信度 0.66 Biometric Recognition and Security SystemsSignal ProcessingComputer SciencePhysical SciencesUser Authentication Methods and Security Measures
• SviaB: Secure and verifiable multi‐instance iris remote authentication using blockchain
  IET BiometricsVolume 11, Issue 1 p. 35-50 ORIGINAL RESEARCH PAPEROpen Access SviaB: Secure and verifiable multi-instance iris remote authentication using blockchain Mahesh Kumar Morampudi, Corresponding Author Mahesh Kumar Morampudi morampudimahesh@gmail.com D…
  datacite Mahesh Kumar Morampudi, Munaga V. N. K. Prasad, Surya Narayana Raju Undi 2021 置信度 0.66 Biometric Recognition and Security SystemsSignal ProcessingComputer SciencePhysical SciencesUser Authentication Methods and Security Measures
• REGULATORY FRAMEWORKS FOR FEDERATED LEARNING - ENSURING SECURITY AND COMPLIANCE IN DECENTRALIZED AI
  This systematic review delves into the regulatory frameworks governing federated learning in decentralized AI, emphasizing data privacy, ethical considerations, and adaptability. Through an extensive exploration of scholarly literature, academic databases, and…
  datacite Brandl, Edenilson 2023 置信度 0.66 Federated LearningDecentralized AIRegulatory FrameworksData PrivacyEthical Considerations
• REGULATORY FRAMEWORKS FOR FEDERATED LEARNING - ENSURING SECURITY AND COMPLIANCE IN DECENTRALIZED AI
  This systematic review delves into the regulatory frameworks governing federated learning in decentralized AI, emphasizing data privacy, ethical considerations, and adaptability. Through an extensive exploration of scholarly literature, academic databases, and…
  datacite Brandl, Edenilson 2023 置信度 0.66 Federated LearningDecentralized AIRegulatory FrameworksData PrivacyEthical Considerations
• Federated learning: Applications, challenges and future directions
  Federated learning (FL) is a system in which a central aggregator coordinates the efforts of multiple clients to solve machine learning problems. This setting allows training data to be dispersed in order to protect privacy. The purpose of this paper is to pro…
  datacite Bharati, Subrato, Mondal, M. Rubaiyat Hossain, Podder, Prajoy, Prasath, V. B. Surya 2022 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Information Theory (cs.IT)Image and Video Processing (eess.IV)FOS: Computer and information sciences
• Secure Multiparty Computations For Privacy Preserving Classifiers
  Secure computations are essential while performing privacy preserving data mining. Distributed privacy preserving data mining involve two to more sites that cannot pool in their data to a third party due to the violation of law regarding the individual. Hence …
  datacite M. Sumana, K. S. Hareesha 2017 置信度 0.66 Homomorphic propertysecure productsecure mean and variancesecure dot productvertically partitioned data.
• Secure Multiparty Computations For Privacy Preserving Classifiers
  Secure computations are essential while performing privacy preserving data mining. Distributed privacy preserving data mining involve two to more sites that cannot pool in their data to a third party due to the violation of law regarding the individual. Hence …
  datacite M. Sumana, K. S. Hareesha 2017 置信度 0.66 Homomorphic propertysecure productsecure mean and variancesecure dot productvertically partitioned data.
• SHEild: An Intelligent Safety Navigation System for Secure Mobility
  crossref Jumana Maryam M, Uma R, Sandhiya J, S. Lavanya 2026-05-12T19:46:53Z 置信度 0.70
• Gakmoro: An Application of Physical Secure Computation to Card Game
  crossref Takaaki Mizuki, Tomoki Kuzuma, Tomoya Hirano, Ririn Oshima 等 2026-01-30T11:37:09Z 置信度 0.70
• Optimizing Privacy Preservation in Federated Learning: A Multi-Tier Approach Using the Secure Federated Averaging Algorithm and Homomorphic Encryption with Secure Multi-Party Computation
  crossref Cina Mathew, P. Asha 2026-08-18T19:12:10Z 置信度 0.70
• REVS-T: Trust-Tier-Aware Provider Selection for Secure Vehicular Computation Offloading
  crossref Sharifah Fayi, Ferheen Ayaz, Zhengguo Sheng 2026-08-13T19:12:05Z 置信度 0.70
• A Secure and Efficient Ring Learning With Error Based Three‐Party Authenticated Key Agreement Scheme for Wireless Mobile Communication Systems
  ABSTRACT Quantum computing poses a mounting and concrete threat to the cryptographi protocols underpinning mobile communication systems, where both security and computational efficiency are critical constraints. Existing three‐party authenticated key agreement…
  crossref Sunil Kumar, Arvind Yadav 2026-06-11T10:53:23Z 置信度 0.70
• A trust computation framework with lightweight blockchain for secure cloud service selection
  crossref Ali Jaber Almalki, Saravanan Pandiaraj 2026-06-25T19:37:18Z 置信度 0.70
• Dual-Cloud Collaborative Graph Edit Distance Secure Computation Protocol
  To address the challenge of securely computing graph edit distance in directed graph scenarios without compromising parties' privacy data, this paper proposes a homomorphic encryption-based, dual-cloud-assisted secure graph edit distance computation protocol. …
  crossref Yufeng Wang 2026-03-24T00:15:48Z 置信度 0.70
• A Novel Data Protection Model for Secure Medical Data in Cloud Environments Using Scaling Wide Residual Networks Based Key Generation
  ABSTRACT The Personal Health Record (PHR) system manages their medical records in the cloud independently by enabling them to upload and control access to sensitive health data. To address the security, a novel protection model based on key generation and Attr…
  crossref Karthik Pisupaati, Latha Durairaj 2026-03-17T03:42:15Z 置信度 0.70
• An Algorithm for Persistent Homology Computation Using Homomorphic Encryption
  crossref Dominic Gold, Koray Karabina, Francis Motta 2025-10-01T17:42:02Z 置信度 0.70
• Secure Multi-party Computation for Privacy-preserving Machine Learning in Healthcare
  This study investigates the dual impact of Secure Multi-Party Computation (SMPC) on machine learning (ML) model performance and stakeholder trust within the context of healthcare data analytics. Using a structured survey, data were collected from 171 household…
  crossref Ronak Goyal, Ashwini Somani 2026-02-26T11:39:18Z 置信度 0.70
• Coalition policy in multiparty governments: whose preferences prevail
  In coalition governments, parties need to agree on a common policy position. Whose preferences prevail? The proportionality hypothesis, the idea that coalition partners' influence on policy is proportional to their share of seats, has been used widely in the l…
  crossref Alessio Albarello 2026-04-20T15:41:13Z 置信度 0.70
• Updates to the Usage of TLS to Provide a Secure Transport for the Path Computation Element Communication Protocol (PCEP)
  crossref D. Dhody, S. Turner, R. Housley 2026-07-14T23:25:50Z 置信度 0.70
• Blockchain-based Outsourced Secure Multi-party Privacy-preserving Verifiable Computation Scheme
  With the increasing demand for data privacy protection, outsourcing secure multi-party privacy intersection is faced with the dual challenges of privacy leakage and computational credibility verification. This paper proposes a blockchain-based secure multi-par…
  crossref Feng Xi 2026-08-21T00:07:44Z 置信度 0.70