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• Private RAG with Efficient Communication via Fully Homomorphic Encryption
  crossref Junkai Peng 2026-07-21T19:12:20Z 置信度 0.70
• Evaluation of Homomorphic Encryption for Privacy in Principal Component Analysis
  crossref David Arnold, Jafar Saniie 2023-07-25T17:22:40Z 置信度 0.70
• Efficient Privacy-Preserving Federated Learning with Sensitivity-Based Selective Homomorphic Encryption
  crossref Yewon Jeong, Woo-Seok Choi 2026-01-14T20:38:59Z 置信度 0.70
• Homomorphic Encryption
  crossref Marius Iulian Mihailescu, Stefania Loredana Nita 2021-01-15T18:57:30Z 置信度 0.70
• Reforming the Bank Secrecy Act to Apply to Blockchain Nodes: Adoption of Fully Homomorphic Encryption Association Sets as a Reasonable Compliance Measure
  crossref Jason Berkun 2025-04-04T14:25:18Z 置信度 0.70
• Performance Evaluation of Homomorphic Encryption based Data Access Control
  crossref Amit Kanungo, Sanjay Thakur 2016-03-17T14:07:08Z 置信度 0.70
• A type of sorting based on homomorphic encryption
  crossref Xu Chen, Qiming Huang 2014-07-28T19:22:17Z 置信度 0.70
• Privacy-Preserving Vector Similarity Search using Homomorphic Encryption
  crossref Srushti Mathur, Aayush Chhabra 2025-07-21T18:02:32Z 置信度 0.70
• Investigating TenSEAL's Homomorphic Encryption Through Predicting Encrypted RNA Sequencing Data
  crossref Logan Choi, Wooyoung Kim 2026-06-29T19:38:32Z 置信度 0.70
• Homomorphic Encryption for Data Security in Cloud Computing
  crossref Kamal Kumar Chauhan, Amit K.S. Sanger, Ajai Verma 2016-03-24T16:22:07Z 置信度 0.70
• A Study on Partially Homomorphic Encryption
  crossref Jihyeon Ryu, Keunok Kim, Dongho Won 2023-02-08T18:57:50Z 置信度 0.70
• Homomorphic Encryption using E-Voting System
  crossref Karan Kadlag 2019-09-06T07:51:47Z 置信度 0.70
• HEDup: Secure Deduplication with Homomorphic Encryption
  crossref Rodel Miguel, Khin Mi Mi Aung, Mediana 2015-09-14T17:24:54Z 置信度 0.70
• Popular Homomorphic Encryption Schemes
  crossref Pawel Sniatala, S.S. Iyengar, Sanjeev Kaushik Ramani 2021-11-30T20:34:17Z 置信度 0.70
• Secure Cooperative Sensor Coverage Control Using Homomorphic Proxy Re-encryption
  crossref Hiroaki Kawase, Kaoru Teranishi, Kiminao Kogiso, Takashi Tanaka 2025-08-21T18:17:51Z 置信度 0.70
• ENHANCING DATA PRIVACY IN MULTI-CLOUD ENVIRONMENTS USING HOMOMORPHIC ENCRYPTION TECHNIQUES
  In the era of digital transformation, multi-cloud environments offer enterprises flexibility and resilience by distributing workloads across multiple cloud service providers. However, this approach raises significant concerns about data privacy and security, p…
  crossref Venkatesh H 2025-11-03T09:09:48Z 置信度 0.70
• A Speech Homomorphic Encryption Scheme with Less Data Expansion in Cloud Computing
  crossref 2019-06-03T05:16:10Z 置信度 0.70
• Cyber-security enhancement of networked control systems using homomorphic encryption
  crossref Kiminao Kogiso, Takahiro Fujita 2016-02-29T16:32:44Z 置信度 0.70
• The data protection of mapreduce using homomorphic encryption
  crossref Xu Chen, Qiming Huang 2013-10-02T18:30:53Z 置信度 0.70
• Combining Homomorphic Encryption with Trusted Execution Environment
  crossref Nir Drucker, Shay Gueron 2017-10-31T14:58:58Z 置信度 0.70
• Achieving CCA1-security in homomorphic encryption
  Este artigo propõe a combinação de encriptação homomórfica e computação verificável para evitar ataques de recuperação de chaves e obter segurança CCA1 em construções de esquemas parcialmente homomórficos descritos na literatura. Além disso, são propostos parâ…
  crossref Eduardo Morais, Diego F. Aranha, Ricardo Dahab 2020-02-19T15:36:14Z 置信度 0.70
• Keynote Speaker 4: Introducing Homomorphic Encryption in Blockchain-enabled Applications
  crossref Mohamed Hamdi 2022-12-16T13:49:51Z 置信度 0.70
• A Secure Cloud Storage using ECC-Based Homomorphic Encryption
  This paper presents a new homomorphic public-key encryption scheme based on the elliptic curve cryptography (HPKE-ECC). This HPKE-ECC scheme allows public computation on encrypted data stored on a cloud in such a manner that the output of this computation give…
  crossref Daya Sagar Gupta, G. P. Biswas 2019-12-12T14:07:01Z 置信度 0.70
• Efficient fully homomorphic encryption from RLWE with an extension to a threshold encryption scheme
  crossref Xiaojun Zhang, Chunxiang Xu, Chunhua Jin, Run Xie 等 2013-11-11T02:01:07Z 置信度 0.70
• Implementation of Ring Learning-with-Errors Encryption and Brakerski–Fan–Vercauteren Fully Homomorphic Encryption Using ChatGPT
  This paper investigates whether ChatGPT, a large language model, can assist in the implementation of lattice-based cryptography and fully homomorphic encryption algorithms, specifically the Ring Learning-with-Errors encryption scheme and the Brakerski–Fan–Verc…
  crossref Zhigang Chen, Xinxia Song, Liqun Chen, Hai Liu 2025-10-17T07:33:50Z 置信度 0.70
• A General Design Method of Constructing Fully Homomorphic Encryption with Ciphertext Matrix
  crossref 2019-06-03T01:16:10Z 置信度 0.70
• A Comparative Assessment of Homomorphic Encryption Algorithms Applied to Biometric Information
  This paper provides preliminary research regarding the implementation and evaluation of a hybrid mechanism of authentication based on fingerprint recognition interconnected with RFID technology, using Arduino modules, that can be deployed in different scenario…
  crossref Georgiana Crihan, Marian Crăciun, Luminița Dumitriu 2023-08-11T10:20:16Z 置信度 0.70
• Computer Arithmetic Research to Accelerate Privacy-Protecting Encrypted Computing Such as Homomorphic Encryption
  crossref Kurt Rohloff 2019-10-21T23:56:55Z 置信度 0.70
• Fully Homomorphic Encryption Without Noise
  In this paper, the authors present a novel fully homomorphic encryption scheme operating between ZN and capable of arbitrarily performing additions and multiplications. The new scheme is compact and each operation (addition or multiplication) performed on any …
  crossref Yacine Ichibane, Youssef Gahi, Mouhcine Guennoun, Zouhair Guennoun 2021-01-11T12:34:42Z 置信度 0.70
• A Review of Homomorphic Encryption and its Applications
  crossref Lifang Zhang, Zheng Yan, Raimo Kantola 2016-12-27T10:03:45Z 置信度 0.70
• Symmetric Fully Homomorphic Encryption Scheme with Polynomials Operations
  crossref Kavita Aganya, Iti Sharma 2018-10-23T00:51:33Z 置信度 0.70
• CYBERSECURITY IN THE CLOUD: DATA CONFIDENTIALITY AND INTEGRITY USING HOMOMORPHIC ENCRYPTION
  As cloud computing becomes more prevalent, guaranteeing the security of confidential data has become a top priority. Although conventional encryption methods protect data in transit and at rest, they fail at processing and thus leave data open to possible brea…
  crossref Ayyapparaj T 2025-07-07T08:28:47Z 置信度 0.70
• Secure Virtual Network Embedding Through Fully Homomorphic Encryption
  crossref David Bruce Cousins, Carlo Pascoe, Erik Kline 2025-10-16T17:35:37Z 置信度 0.70
• Verifiable Delegation of Computation through Fully Homomorphic Encryption
  crossref Alpana Vijay, Vijay Kumar Sharma 2014-07-18T04:33:06Z 置信度 0.70
• A Survey on Homomorphic Encryption in Cloud Security
  An outsourcing of data is increasing the data storage in Cloud. These raise numerous new challenges of privacy concern for persons and business. Sending data in the encrypted form to the cloud is a common approach to handle the privacy concern. Homomorphic Enc…
  crossref Kavitha C.R, Bharati Harsoor 2026-03-28T12:22:15Z 置信度 0.70
• Privacy-Preserving Clustering in Cloud and IoT Environments: A Comprehensive Review of Differential Privacy, Homomorphic Encryption, and Spectral Methods
  Clustering is a fundamental technique in data science and machine learning, widely used for pattern recognition, information retrieval, and large-scale analytics. With the rapid growth of cloud computing, Internet of Things (IoT), and data-driven applications,…
  crossref Gurunath Biranagaddi, Dr. Sunny Mohite 2026-07-31T12:05:59Z 置信度 0.70
• Utilizing Homomorphic Encryption to Implement Secure and Private Medical Cloud Computing
  crossref Ovunc Kocabas, Tolga Soyata 2015-08-20T17:46:43Z 置信度 0.70
• Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.
  In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learning has received considerable attention from the healthcare sector. Despite their ability to provide solutions within personalized medicine, strict regulations on…
  pubmed Vizitiu A, Niƫă CI, Puiu A, Suciu C 等 2020 置信度 0.82
• Privacy-Preserving Artificial Intelligence: Application to Precision Medicine.
  Motivated by state-of-the-art performances across a wide variety of areas, over the last few years Machine Learning has drawn a significant amount of attention from the healthcare domain. Despite their potential in enabling person-alized medicine applications,…
  pubmed Vizitiu A, Nita CI, Puiu A, Suciu C 等 2019 Jul 置信度 0.82
• Secure Processing of Stream Cipher Encrypted Data Issued from IOT: Application to a Connected Knee Prosthesis.
  In this paper, we propose a secure protocol that allows processing encrypted data emitted by a medical IOT device. Its originality stands on a new fast algorithm which makes possible the conversion of Combined Linear Congruential Generator (CLCG) encrypted dat…
  pubmed Pistono M, Bellafqira R, Coatrieux G 2019 Jul 置信度 0.82
• Learning a Fixed-Length Fingerprint Representation.
  We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge, including alignment and minutiae detection, into the deep network architecture to max…
  pubmed Engelsma JJ, Cao K, Jain AK 2021 Jun 置信度 0.82
• Proof-of-concept study: Homomorphically encrypted data can support real-time learning in personalized cancer medicine.
  The successful introduction of homomorphic encryption (HE) in clinical research holds promise for improving acceptance of data-sharing protocols, increasing sample sizes, and accelerating learning from real-world data (RWD). A well-scoped use case for HE would…
  pubmed Paddock S, Abedtash H, Zummo J, Thomas S 2019 Dec 4 置信度 0.82
• Privacy-enhanced multi-party deep learning.
  In multi-party deep learning, multiple participants jointly train a deep learning model through a central server to achieve common objectives without sharing their private data. Recently, a significant amount of progress has been made toward the privacy issue …
  pubmed Gong M, Feng J, Xie Y 2020 Jan 置信度 0.82
• High-capacity reversible data hiding in encrypted images based on two-phase histogram shifting.
  With the extensive use of cloud services in different applications, it's a problem for the cloud service provider to manage or process the privacy data that are encrypted by the content owner. Therefore, signal processing technology in the encrypted domain has…
  pubmed Chen KM, Chang CC 2019 May 6 置信度 0.82
• Algebraic secret sharing using privacy homomorphisms for IoT-based healthcare systems.
  Healthcare industry is one of the promising fields adopting the Internet of Things (IoT) solutions. In this paper, we study secret sharing mechanisms towards resolving privacy and security issues in IoT-based healthcare applications. In particular, we show how…
  pubmed Chang CC, Li CT 2019 Apr 18 置信度 0.82
• A privacy-preserving distributed filtering framework for NLP artifacts.
  Medical data sharing is a big challenge in biomedicine, which often hinders collaborative research. Due to privacy concerns, clinical notes cannot be directly shared. A lot of efforts have been dedicated to de-identifying clinical notes but it is still very ch…
  pubmed Sadat MN, Aziz MMA, Mohammed N, Pakhomov S 等 2019 Sep 7 置信度 0.82
• Secure Outsourced Matrix Computation and Application to Neural Networks.
  Homomorphic Encryption (HE) is a powerful cryptographic primitive to address privacy and security issues in outsourcing computation on sensitive data to an untrusted computation environment. Comparing to secure Multi-Party Computation (MPC), HE has advantages …
  pubmed Jiang X, Kim M, Lauter K, Song Y 2018 Oct 置信度 0.82
• A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization.
  Personalized quality of service (QoS) prediction plays an important role in helping users build high-quality service-oriented systems. To obtain accurate prediction results, many approaches have been investigated in recent years. However, these approaches do n…
  pubmed Cai W, Du X, Xu J 2019 Jun 19 置信度 0.82
• Reversible Data Hiding Algorithm in Fully Homomorphic Encrypted Domain.
  This paper proposes a reversible data hiding scheme by exploiting the DGHV fully homomorphic encryption, and analyzes the feasibility of the scheme for data hiding from the perspective of information entropy. In the proposed algorithm, additional data can be e…
  pubmed Li J, Liang X, Dai C, Xiang S 2019 Jun 26 置信度 0.82
• A Fine-Grained User-Divided Privacy-Preserving Access Control Protocol in Smart Watch.
  A smart watch is a kind of emerging wearable device in the Internet of Things. The security and privacy problems are the main obstacles that hinder the wide deployment of smart watches. Existing security mechanisms do not achieve a balance between the privacy-…
  pubmed Fang L, Li M, Zhou L, Zhang H 等 2019 May 7 置信度 0.82
• The European cross-border health data exchange roadmap: Case study in the Italian setting.
  Health data exchange is a major challenge due to the sensitive information and the privacy issues entailed. Considering the European context, in which health data must be exchanged between different European Union (EU) Member States, each having a different na…
  pubmed Nalin M, Baroni I, Faiella G, Romano M 等 2019 Jun 置信度 0.82
• A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side.
  Single Nucleotide Polymorphism (SNP) in the genome has become crucial information for clinical use. For example, the targeted cancer therapy is primarily based on the information which clinically important SNPs are detectable from the tumor. Many hospitals hav…
  pubmed Park S, Kim M, Seo S, Hong S 等 2019 Apr 4 置信度 0.82
• Achieving Efficient and Privacy-Preserving k-NN Query for Outsourced eHealthcare Data.
  The boom of Internet of Things devices promotes huge volumes of eHealthcare data will be collected and aggregated at eHealthcare provider. With the help of these health data, eHealthcare provider can offer reliable data service (e.g., k-NN query) to doctors fo…
  pubmed Zheng Y, Lu R, Shao J 2019 Mar 27 置信度 0.82
• Privacy-preserving biomedical data dissemination via a hybrid approach.
  Sharing medical data can benefit many aspects of biomedical research studies. However, medical data usually contains sensitive patient information, which cannot be shared directly. Summary statistics, like histogram, are widely used in medical research which s…
  pubmed Jiang Y, Wang C, Wu Z, Du X 等 2018 置信度 0.82
• Private naive bayes classification of personal biomedical data: Application in cancer data analysis.
  Clinicians would benefit from access to predictive models for diagnosis, such as classification of tumors as malignant or benign, without compromising patients' privacy. In addition, the medical institutions and companies who own these medical information syst…
  pubmed Wood A, Shpilrain V, Najarian K, Kahrobaei D 2019 Feb 置信度 0.82
• PPSDT: A Novel Privacy-Preserving Single Decision Tree Algorithm for Clinical Decision-Support Systems Using IoT Devices.
  Medical service providers offer their patients high quality services in return for their trust and satisfaction. The Internet of Things (IoT) in healthcare provides different solutions to enhance the patient-physician experience. Clinical Decision-Support Syst…
  pubmed Alabdulkarim A, Al-Rodhaan M, Ma T, Tian Y 2019 Jan 3 置信度 0.82
• A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications.
  Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main fa…
  pubmed Alromih A, Al-Rodhaan M, Tian Y 2018 Dec 9 置信度 0.82
• BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation.
  Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices. To addres…
  pubmed Zhou L, Wang L, Ai T, Sun Y 2018 Nov 5 置信度 0.82
• Secure large-scale genome data storage and query.
  Cloud computing plays a vital role in big data science with its scalable and cost-efficient architecture. Large-scale genome data storage and computations would benefit from using these latest cloud computing infrastructures, to save cost and speedup discoveri…
  pubmed Chen L, Aziz MM, Mohammed N, Jiang X 2018 Oct 置信度 0.82
• Privacy-preserving logistic regression training.
  Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appealing idea to outsource this computation to a cloud service. T…
  pubmed Bonte C, Vercauteren F 2018 Oct 11 置信度 0.82
• Privacy-Preserving Data Aggregation against False Data Injection Attacks in Fog Computing.
  As an extension of cloud computing, fog computing has received more attention in recent years. It can solve problems such as high latency, lack of support for mobility and location awareness in cloud computing. In the Internet of Things (IoT), a series of IoT …
  pubmed Zhang Y, Zhao J, Zheng D, Deng K 等 2018 Aug 13 置信度 0.82
• Machine learning and genomics: precision medicine versus patient privacy.
  Machine learning can have a major societal impact in computational biology applications. In particular, it plays a central role in the development of precision medicine, whereby treatment is tailored to the clinical or genetic features of the patient. However,…
  pubmed Azencott CA 2018 Sep 13 置信度 0.82
• MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data.
  The increasing number of health-data breaches is creating a complicated environment for medical-data sharing and, consequently, for medical progress. Therefore, the development of new solutions that can reassure clinical sites by enabling privacy-preserving sh…
  pubmed Raisaro JL, Troncoso-Pastoriza JR, Misbach M, Sousa JS 等 2019 Jul-Aug 置信度 0.82
• Efficient Encrypted Images Filtering and Transform Coding with Walsh-Hadamard Transform and Parallelization.
  Since homomorphic encryption operations have high computational complexity, image applications based on homomorphic encryption are often time consuming, which makes them impractical. In this paper, we study efficient encrypted image applications with the encry…
  pubmed Zheng P, Huang J 2018 Feb 5 置信度 0.82
• Secure Wavelet Matrix: Alphabet-Friendly Privacy-Preserving String Search for Bioinformatics.
  Biomedical data often includes personal information, and the technology is demanded that enables the searching of such sensitive data while protecting privacy. We consider a case in which a server has a text database and a user searches the database to find su…
  pubmed Sudo H, Jimbo M, Nuida K, Shimizu K 2019 Sep-Oct 置信度 0.82
• SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol.
  Machine learning applications are intensively utilized in various science fields, and increasingly the biomedical and healthcare sector. Applying predictive modeling to biomedical data introduces privacy and security concerns requiring additional protection to…
  pubmed Jiang Y, Hamer J, Wang C, Jiang X 等 2019 Jan-Feb 置信度 0.82
• SAFETY: Secure gwAs in Federated Environment through a hYbrid Solution.
  Recent studies demonstrate that effective healthcare can benefit from using the human genomic information. Consequently, many institutions are using statistical analysis of genomic data, which are mostly based on genome-wide association studies (GWAS). GWAS an…
  pubmed Sadat MN, Al Aziz MM, Mohammed N, Chen F 等 2019 Jan-Feb 置信度 0.82
• Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud.
  The biomedical community is lagging in the adoption of cloud computing for the management of medical data. The primary obstacles are concerns about privacy and security. In this paper, we explore the feasibility of using advanced privacy-enhancing technologies…
  pubmed Raisaro JL, Klann JG, Wagholikar KB, Estiri H 等 2018 置信度 0.82
• SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach.
  As genomic data are usually at large scale and highly sensitive, it is essential to enable both efficient and secure analysis, by which the data owner can securely delegate both computation and storage on untrusted public cloud. Counting query of genotypes is …
  pubmed Chenghong W, Jiang Y, Mohammed N, Chen F 等 2017 置信度 0.82
• A Strategy toward Collaborative Filter Recommended Location Service for Privacy Protection.
  A new collaborative filtered recommendation strategy was proposed for existing privacy and security issues in location services. In this strategy, every user establishes his/her own position profiles according to their daily position data, which is preprocesse…
  pubmed Wang P, Yang J, Zhang J 2018 May 11 置信度 0.82
• A Secure Alignment Algorithm for Mapping Short Reads to Human Genome.
  The elastic and inexpensive computing resources such as clouds have been recognized as a useful solution to analyzing massive human genomic data (e.g., acquired by using next-generation sequencers) in biomedical researches. However, outsourcing human genome co…
  pubmed Zhao Y, Wang X, Tang H 2018 Jun 置信度 0.82
• Are privacy-enhancing technologies for genomic data ready for the clinic? A survey of medical experts of the Swiss HIV Cohort Study.
  Protecting patient privacy is a major obstacle for the implementation of genomic-based medicine. Emerging privacy-enhancing technologies can become key enablers for managing sensitive genetic data. We studied physicians' attitude toward this kind of technology…
  pubmed Raisaro JL, McLaren PJ, Fellay J, Cavassini M 等 2018 Mar 置信度 0.82
• A digital memories based user authentication scheme with privacy preservation.
  The traditional username/password or PIN based authentication scheme, which still remains the most popular form of authentication, has been proved insecure, unmemorable and vulnerable to guessing, dictionary attack, key-logger, shoulder-surfing and social engi…
  pubmed Liu J, Lyu Q, Wang Q, Yu X 2017 置信度 0.82
• PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension.
  Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research. However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sens…
  pubmed Chen F, Wang C, Dai W, Jiang X 等 2017 Jul 26 置信度 0.82
• Efficient and secure outsourcing of genomic data storage.
  Cloud computing is becoming the preferred solution for efficiently dealing with the increasing amount of genomic data. Yet, outsourcing storage and processing sensitive information, such as genomic data, comes with important concerns related to privacy and sec…
  pubmed Sousa JS, Lefebvre C, Huang Z, Raisaro JL 等 2017 Jul 26 置信度 0.82
• 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…
  pubmed Ziegeldorf JH, Pennekamp J, Hellmanns D, Schwinger F 等 2017 Jul 26 置信度 0.82
• Private queries on encrypted genomic data.
  One of the tasks in the iDASH Secure Genome Analysis Competition in 2016 was to demonstrate the feasibility of privacy-preserving queries on homomorphically encrypted genomic data. More precisely, given a list of up to 100,000 mutations, the task was to encryp…
  pubmed Çetin GS, Chen H, Laine K, Lauter K 等 2017 Jul 26 置信度 0.82
• EPPRD: An Efficient Privacy-Preserving Power Requirement and Distribution Aggregation Scheme for a Smart Grid.
  A Smart Grid (SG) facilitates bidirectional demand-response communication between individual users and power providers with high computation and communication performance but also brings about the risk of leaking users' private information. Therefore, improvin…
  pubmed Zhang L, Zhang J 2017 Aug 7 置信度 0.82
• [Formula: see text]: Oblivious similarity based searching for encrypted data outsourced to an untrusted domain.
  Public cloud storage services are becoming prevalent and myriad data sharing, archiving and collaborative services have emerged which harness the pay-as-you-go business model of public cloud. To ensure privacy and confidentiality often encrypted data is outsou…
  pubmed Pervez Z, Ahmad M, Khattak AM, Ramzan N 等 2017 置信度 0.82
• An end to end secure CBIR over encrypted medical database.
  In this paper, we propose a new secure content based image retrieval (SCBIR) system adapted to the cloud framework. This solution allows a physician to retrieve images of similar content within an outsourced and encrypted image database, without decrypting the…
  pubmed Bellafqira R, Coatrieux G, Bouslimi D, Quellec G 2016 Aug 置信度 0.82
• RiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in Wireless Sensor Networks.
  Recently, data privacy in wireless sensor networks (WSNs) has been paid increased attention. The characteristics of WSNs determine that users' queries are mainly aggregation queries. In this paper, the problem of processing aggregation queries in WSNs with dat…
  pubmed Zhang K, Han Q, Cai Z, Yin G 2017 Feb 7 置信度 0.82
• SecureMed: Secure Medical Computation Using GPU-Accelerated Homomorphic Encryption Scheme.
  Sharing the medical records of individuals among healthcare providers and researchers around the world can accelerate advances in medical research. While the idea seems increasingly practical due to cloud data services, maintaining patient privacy is of paramo…
  pubmed Khedr A, Gulak G 2018 Mar 置信度 0.82
• PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.
  We introduce PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents. PRINCESS leverages Software Guard Extensions (SGX) and hardware for trustworthy computat…
  pubmed Chen F, Wang S, Jiang X, Ding S 等 2017 Mar 15 置信度 0.82
• Cost-Efficient and Multi-Functional Secure Aggregation in Large Scale Distributed Application.
  Secure aggregation is an essential component of modern distributed applications and data mining platforms. Aggregated statistical results are typically adopted in constructing a data cube for data analysis at multiple abstraction levels in data warehouse platf…
  pubmed Zhang P, Li W, Sun H 2016 置信度 0.82
• Efficient privacy-preserving string search and an application in genomics.
  Personal genomes carry inherent privacy risks and protecting privacy poses major social and technological challenges. We consider the case where a user searches for genetic information (e.g. an allele) on a server that stores a large genomic database and aims …
  pubmed Shimizu K, Nuida K, Rätsch G 2016 Jun 1 置信度 0.82
• Secure and Privacy-Preserving Body Sensor Data Collection and Query Scheme.
  With the development of body sensor networks and the pervasiveness of smart phones, different types of personal data can be collected in real time by body sensors, and the potential value of massive personal data has attracted considerable interest recently. H…
  pubmed Zhu H, Gao L, Li H 2016 Feb 1 置信度 0.82
• Privacy-preserving genomic testing in the clinic: a model using HIV treatment.
  The implementation of genomic-based medicine is hindered by unresolved questions regarding data privacy and delivery of interpreted results to health-care practitioners. We used DNA-based prediction of HIV-related outcomes as a model to explore critical issues…
  pubmed McLaren PJ, Raisaro JL, Aouri M, Rotger M 等 2016 Aug 置信度 0.82
• Content-based image retrieval in homomorphic encryption domain.
  In this paper, we propose a secure implementation of a content-based image retrieval (CBIR) method that makes possible diagnosis aid systems to work in externalized environment and with outsourced data as in cloud computing. This one works with homomorphic enc…
  pubmed Bellafqira R, Coatrieux G, Bouslimi D, Quellec G 2015 Aug 置信度 0.82
• VIFP: Shape-Hiding Tree Mining on Encrypted Data via Virtual-Interval FP-Growth
  Privacy-preserving frequent itemset mining has been studied for more than two decades, mainlythrough secure candidate counting, horizontally or vertically partitioned protocols, outsourced en-crypted support computation, and partial homomorphic outsourcing. Ho…
  datacite Van Ha, Minh Quan 2026 置信度 0.66
• Artifact: SoK - A Graph-Based Analysis of Comparability, Scale, and Attribution in Privacy-Preserving 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
• Artifact: SoK - A Graph-Based Analysis of Comparability, Scale, and Attribution in Privacy-Preserving 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
• 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
• 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
• A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection
  Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detec…
  datacite D. A. Onuma, D. Matthias, O. E. Taylor, N. D. Nwiabu 2026 置信度 0.66 Hybrid Artificial Intelligence, Abnormal Network Traffic Identification, Intelligent Threat Detection, Intrusion Detection System, LSTM, Transformer, Random Forest, Explainable Artificial Intelligence, CKKS Homomorphic Encryption, Zero-Day Attack Detection
• A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection
  Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detec…
  datacite Onuma Divine Anele, PROF. D. Matthias, DR. O. E. Taylor 2026 置信度 0.66 Hybrid Artificial Intelligence, Abnormal Network Traffic Identification, Intelligent Threat Detection, Intrusion Detection System, LSTM, Transformer, Random Forest, Explainable Artificial Intelligence, CKKS Homomorphic Encryption, Zero-Day Attack Detection
• Project Artifacts: Decentralized Governance of Encrypted Human-AI Augmentation for Equitable Climate Disaster Recovery Decisions
  This repository provides supplementary research project artifacts: evidential structures, encrypted aggregation metadata, and resources, to support the findings of a real-world case study on equitable disaster recovery decision-making. The project presents a d…
  datacite Sachan, Dr. Swati, Fickett, Dale 2026 置信度 0.66 AIHuman-MachinePrivacyArtificial intelligenceCommunity finance
• Project Artifacts: Decentralized Governance of Encrypted Human-AI Augmentation for Equitable Climate Disaster Recovery Decisions
  This repository provides supplementary research project artifacts: evidential structures, encrypted aggregation metadata, and resources, to support the findings of a real-world case study on equitable disaster recovery decision-making. The project presents a d…
  datacite Sachan, Dr. Swati, Fickett, Dale 2026 置信度 0.66 AIHuman-MachinePrivacyArtificial intelligenceCommunity finance
• Privacy-Preserving High-Resolution Image Gradient Computation Based on Fully Homomorphic Encryption
  With growing emphasis on privacy protection, homomorphic encryption (HE) has emerged as a core method for privacy-preserving image processing, as it enables operations directly on encrypted data. However, existing research predominantly focuses on low-resoluti…
  datacite Zhou, Yufei 2026 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• Efficient Mod Approximation and Its Applications to CKKS Ciphertexts
  The mod function plays a critical role in numerous data encoding and cryptographic primitives. However, the widely used CKKS homomorphic encryption (HE) scheme supports only arithmetic operations, making it difficult to perform mod computations on encrypted da…
  datacite Zhou, Yufei 2025 置信度 0.66 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• A Threshold Homomorphic Blockchain Architecture for Secure and Scalable IoT Sensor Data Aggregation
  Homomorphic-encryption blockchain frameworks for IoT sensor aggregation generally rely on classical cryptographic hardness assumptions and seldom account for network topology in liveness and performance analysis. This work introduces Phi-PHE-BC, a topology-awa…
  datacite Dewangan, Narendra Kumar, Msahli, Mounira 2026 置信度 0.66 Cryptography and Security (cs.CR)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciences