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• SVAT: Secure outsourcing of variant annotation and genotype aggregation.
  Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few …
  pubmed Kim M, Wang S, Jiang X, Harmanci A 2022 Oct 1 置信度 0.82
• Secure human action recognition by encrypted neural network inference.
  Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algor…
  pubmed Kim M, Jiang X, Lauter K, Ismayilzada E 等 2022 Aug 15 置信度 0.82
• A Business-to-Business Collaboration System That Promotes Data Utilization While Encrypting Information on the Blockchain.
  Ensuring the reliability of data gathering from every connected device is an essential issue for promoting the advancement of the next paradigm shift, i.e., Industry 4.0. Blockchain technology is becoming recognized as an advanced tool. However, data collabora…
  pubmed Nasu H, Kodera Y, Nogami Y 2022 Jun 29 置信度 0.82
• A Novel Homomorphic Approach for Preserving Privacy of Patient Data in Telemedicine.
  Globally, the surge in disease and urgency in maintaining social distancing has reawakened the use of telemedicine/telehealth. Amid the global health crisis, the world adopted the culture of online consultancy. Thus, there is a need to revamp the conventional …
  pubmed Iqbal Y, Tahir S, Tahir H, Khan F 等 2022 Jun 11 置信度 0.82
• The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges-A Systematic Literature Review (SLR).
  Cloud computing is a long-standing dream of computing as a utility, where users can store their data remotely in the cloud to enjoy on-demand services and high-quality applications from a shared pool of configurable computing resources. Thus, the privacy and s…
  pubmed Hassan J, Shehzad D, Habib U, Aftab MU 等 2022 置信度 0.82
• Secure Counting Query Protocol for Genomic Data.
  Statistical analysis on genomic data can explore the relationship between gene sequence and phenotype. Particularly, counting the genomic mutation samples and associating with related phenotypes for statistical analysis can annotate the variation sites and hel…
  pubmed Jiang Y, Shang T, Liu J 2023 Mar-Apr 置信度 0.82
• Privacy-preserving federated neural network learning for disease-associated cell classification.
  Training accurate and robust machine learning models requires a large amount of data that is usually scattered across data silos. Sharing or centralizing the data of different healthcare institutions is, however, unfeasible or prohibitively difficult due to pr…
  pubmed Sav S, Bossuat JP, Troncoso-Pastoriza JR, Claassen M 等 2022 May 13 置信度 0.82
• Combination of Blockchain and AI for Music Intellectual Property Protection.
  In the last two years, due to the pandemic and restrictive measures, the dependence of music creators and artists on the Internet, where they could promote their work, organize live streaming concerts, and talk to the public, has increased and expanded even mo…
  pubmed Li N 2022 置信度 0.82
• Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition.
  Wearable devices and smartphones that are used to monitor the activity and the state of the driver collect a lot of sensitive data such as audio, video, location and even health data. The analysis and processing of such data require observing the strict legal …
  pubmed Novikova E, Fomichov D, Kholod I, Filippov E 2022 Apr 13 置信度 0.82
• Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing.
  Reversible data hiding in ciphertext has potential applications for privacy protection and transmitting extra data in a cloud environment. For instance, an original plain-text image can be recovered from the encrypted image generated after data embedding, whil…
  pubmed Wu HT, Cheung YM, Zhuang Z, Xu L 等 2023 Jun 置信度 0.82
• A cloud-based buyer-seller watermarking protocol (CB-BSWP) using semi-trusted third party for copy deterrence and privacy preserving.
  Nowadays, cloud computing provides a platform infrastructure for the secure dealing of digital data, but privacy and copy control are the two important issues in it over a network. Cloud data is available to the end user and requires enormous security and priv…
  pubmed Kumar A 2022 置信度 0.82
• A secure multi-party computation protocol without CRS supporting multi-bit encryption.
  To solve the problems in the existing fully homomorphic encryption (FHE)-based secure multi-party computation (SMC) protocols such as low efficiency, the FHE scheme that supports multi-bit encryption was modified during the generation of the public key so that…
  pubmed Zhu ZW, Huang RW 2022 置信度 0.82
• Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing.
  Edge intelligent computing is widely used in the fields, such as the Internet of Medical Things (IoMT), which has advantages, including high data processing efficiency, strong real-time performance and low network delay. However, there are many problems includ…
  pubmed Wang R, Lai J, Zhang Z, Li X 等 2023 Feb 置信度 0.82
• Privacy preserving collaborative learning of generalized linear mixed model.
  Generalized Linear Mixed Model is one of the most pervasive class of statistical models. It is widely used in the medical domain. Training such models in a collaborative setting often entails privacy risks. Standard privacy preserving mechanisms such as differ…
  pubmed Anjum MM, Mohammed N, Li W, Jiang X 2022 Mar 置信度 0.82
• Encrypted face recognition algorithm based on Ridgelet-DCT transform and THM chaos.
  With the popularization and application of face recognition technology, a large number of face image data are spread and used on the Internet. It has brought great potential safety hazard for personal privacy. Combined with the characteristics of tent chaos an…
  pubmed Liu Z, Li J, Liu J 2022 Jan 置信度 0.82
• An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network.
  The IoT refers to the interconnection of things to the physical network that is embedded with software, sensors, and other devices to exchange information from one device to the other. The interconnection of devices means there is the possibility of challenges…
  pubmed Ali A, Almaiah MA, Hajjej F, Pasha MF 等 2022 Jan 12 置信度 0.82
• Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A Novel Approach to Cryptography.
  Due to the value and importance of patient health records (PHR), security is the most critical feature of encryption over the Internet. Users that perform keyword searches to gain access to the PHR stored in the database are more susceptible to security risks.…
  pubmed Ali A, Pasha MF, Ali J, Fang OH 等 2022 Jan 11 置信度 0.82
• cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU.
  The emerging topic of privacy-preserving deep learning as a service has attracted increasing attention in recent years, which focuses on building an efficient and practical neural network prediction framework to secure client and model-holder data privately on…
  pubmed Bai Y, Liu Q, Wu W, Feng Y 2021 置信度 0.82
• Blockchain for genomics and healthcare: a literature review, current status, classification and open issues.
  The tremendous boost in the next generation sequencing technologies and in the "omics" technologies resulted in the generation of hundreds of gigabytes of data per day. Nowadays, via integrating -omics data with other data types, such as imaging and electronic…
  pubmed Adanur Dedeturk B, Soran A, Bakir-Gungor B 2021 置信度 0.82
• Privacy-Preserving and Lightweight Selective Aggregation with Fault-Tolerance for Edge Computing-Enhanced IoT.
  Edge computing has been introduced to the Internet of Things (IoT) to meet the requirements of IoT applications. At the same time, data aggregation is widely used in data processing to reduce the communication overhead and energy consumption in IoT. Most exist…
  pubmed Wang Q, Mu H 2021 Aug 9 置信度 0.82
• Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition.
  In many decision-making scenarios, ranging from recreational activities to healthcare and policing, the use of artificial intelligence coupled with the ability to learn from historical data is becoming ubiquitous. This widespread adoption of automated systems …
  pubmed Franco D, Oneto L, Navarin N, Anguita D 2021 Aug 14 置信度 0.82
• Pindex: Private multi-linked index for encrypted document retrieval.
  Cryptographic cloud storage is used to make optimal use of the cloud storage infrastructure to outsource sensitive and mission-critical data. The continuous growth of encrypted data outsourced to cloud storage requires continuous updating. Attacks like file-in…
  pubmed Prakash AJ, Elizabeth BL 2021 置信度 0.82
• Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks.
  Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k -nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-gr…
  pubmed Li Y, Zhou F, Ge Y, Xu Z 2021 Jun 9 置信度 0.82
• Guaranteed distributed machine learning: Privacy-preserving empirical risk minimization.
  Distributed learning over data from sensor-based networks has been adopted to collaboratively train models on these sensitive data without privacy leakages. We present a distributed learning framework that involves the integration of secure multi-party computa…
  pubmed Owusu-Agyemang K, Qin Z, Benjamin A, Xiong H 等 2021 Jun 1 置信度 0.82
• Insuring against the perils in distributed learning: privacy-preserving empirical risk minimization.
  Multiple organizations would benefit from collaborative learning models trained over aggregated datasets from various human activity recognition applications without privacy leakages. Two of the prevailing privacy-preserving protocols, secure multi-party compu…
  pubmed Owusu-Agyemang K, Qin Z, Benjamin A, Xiong H 等 2021 Mar 29 置信度 0.82
• Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach.
  Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide adoption of IoT devices in our daily health management. For IoHT data to be acceptable by stakeholders, applications that incorporate the IoHT must have a provision for data p…
  pubmed Rahman MA, Hossain MS, Islam MS, Alrajeh NA 等 2020 置信度 0.82
• P(3)OI-MELSH: Privacy Protection Target Point of Interest Recommendation Algorithm Based on Multi-Exploring Locality Sensitive Hashing.
  With the rapid development of social network, intelligent terminal and automatic positioning technology, location-based social network (LBSN) service has become an important and valuable application. Point of interest (POI) recommendation is an important conte…
  pubmed Liu D, Shan L, Wang L, Yin S 等 2021 置信度 0.82
• Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain.
  The development of information technology has brought great convenience to our lives, but at the same time, the unfairness and privacy issues brought about by traditional centralized systems cannot be ignored. Blockchain is a peer-to-peer and decentralized led…
  pubmed Zhou J, Feng Y, Wang Z, Guo D 2021 Feb 23 置信度 0.82
• Citizen-centered, auditable and privacy-preserving population genomics.
  The growing number of health-data breaches, the use of genomic databases for law enforcement purposes and the lack of transparency of personal genomics companies are raising unprecedented privacy concerns. To enable a secure exploration of genomic datasets wit…
  pubmed Grishin D, Raisaro JL, Troncoso-Pastoriza JR, Obbad K 等 2021 Mar 置信度 0.82
• A Smart Biometric Identity Management Framework for Personalised IoT and Cloud Computing-Based Healthcare Services.
  This paper proposes a novel identity management framework for Internet of Things (IoT) and cloud computing-based personalized healthcare systems. The proposed framework uses multimodal encrypted biometric traits to perform authentication. It employs a combinat…
  pubmed Farid F, Elkhodr M, Sabrina F, Ahamed F 等 2021 Jan 14 置信度 0.82
• A Password Meter without Password Exposure.
  To meet password selection criteria of a server, a user occasionally needs to provide multiple choices of password candidates to an on-line password meter, but such user-chosen candidates tend to be derived from the user's previous passwords-the meter may have…
  pubmed Kim P, Lee Y, Hong YS, Kwon T 2021 Jan 6 置信度 0.82
• A Lattice-Based Homomorphic Proxy Re-Encryption Scheme with Strong Anti-Collusion for Cloud Computing.
  The homomorphic proxy re-encryption scheme combines the characteristics of a homomorphic encryption scheme and proxy re-encryption scheme. The proxy can not only convert a ciphertext of the delegator into a ciphertext of the delegatee, but also can homomorphic…
  pubmed Li J, Qiao Z, Zhang K, Cui C 2021 Jan 4 置信度 0.82
• Blockchain from the Perspective of Privacy and Anonymisation: A Systematic Literature Review.
  The research presented aims to investigate the relationship between privacy and anonymisation in blockchain technologies on different fields of application. The study is carried out through a systematic literature review in different databases, obtaining in a …
  pubmed de Haro-Olmo FJ, Varela-Vaca ÁJ, Álvarez-Bermejo JA 2020 Dec 14 置信度 0.82
• New Constructions of Identity-Based Dual Receiver Encryption from Lattices.
  Dual receiver encryption (DRE), being originally conceived at CCS 2004 as a proof technique, enables a ciphertext to be decrypted to the same plaintext by two different but dual receivers and becomes popular recently due to itself useful application potentials…
  pubmed Liu Y, Wang L, Shen X, Li L 2020 May 28 置信度 0.82
• Two-Party Privacy-Preserving Set Intersection with FHE.
  A two-party private set intersection allows two parties, the client and the server, to compute an intersection over their private sets, without revealing any information beyond the intersecting elements. We present a novel private set intersection protocol bas…
  pubmed Cai Y, Tang C, Xu Q 2020 Nov 25 置信度 0.82
• Privacy-Enhanced Data Fusion for COVID-19 Applications in Intelligent Internet of Medical Things.
  With the worldwide large-scale outbreak of COVID-19, the Internet of Medical Things (IoMT), as a new type of Internet of Things (IoT)-based intelligent medical system, is being used for COVID-19 prevention and detection. However, since the widespread use of Io…
  pubmed Lin H, Garg S, Hu J, Wang X 等 2021 Nov 1 置信度 0.82
• A secure system for genomics clinical decision support.
  We developed a prototype genomic archiving and communications system to securely store genome data and provide clinical decision support (CDS). This system operates on a client-server model. The client encrypts the data, and the server stores data and performs…
  pubmed Karimi S, Jiang X, Dolin RH, Kim M 等 2020 Dec 置信度 0.82
• Homomorphic-Encrypted Volume Rendering.
  Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can …
  pubmed Mazza S, Patel D, Viola I 2021 Feb 置信度 0.82
• Secure Deep Learning for Intelligent Terahertz Metamaterial Identification.
  Metamaterials, artificially engineered structures with extraordinary physical properties, offer multifaceted capabilities in interdisciplinary fields. To address the looming threat of stealthy monitoring, the detection and identification of metamaterials is th…
  pubmed Liu F, Zhang W, Sun Y, Liu J 等 2020 Oct 5 置信度 0.82
• Privacy preserving anomaly detection based on local density estimation.
  Anomaly detection has been widely researched in financial, biomedical and other areas. However, most existing algorithms have high time complexity. Another important problem is how to efficiently detect anomalies while protecting data privacy. In this paper, w…
  pubmed Zhang CK, Yin A, Zuo W, Chen YY 2020 May 6 置信度 0.82
• Clinical Research Informatics.
  To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2019.
  pubmed Daniel C, Kalra D, Section Editors for the IMIA Yearbook Section on Clinical Research Informatics 2020 Aug 置信度 0.82
• Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies.
  Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised medici…
  pubmed Scheibner J, Ienca M, Kechagia S, Troncoso-Pastoriza JR 等 2020 Jan-Jun 置信度 0.82
• Semi-Parallel logistic regression for GWAS on encrypted data.
  The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples can identify disease-causing genetic variants. The pr…
  pubmed Kim M, Song Y, Li B, Micciancio D 2020 Jul 21 置信度 0.82
• MedCo2: Privacy-Preserving Cohort Exploration and Analysis.
  Medical studies are usually time consuming, cumbersome and extremely costly to perform, and for exploratory research, their results are also difficult to predict a priori. This is particularly the case for rare diseases, for which finding enough patients is di…
  pubmed Froelicher D, Misbach M, Troncoso-Pastoriza JR, Raisaro JL 等 2020 Jun 16 置信度 0.82
• Toward a More Accurate Accrual to Clinical Trials: Joint Cohort Discovery Using Bloom Filters and Homomorphic Encryption.
  Reliable cohort discovery is an essential early part of clinical study design. Indeed, it is the defining feature of many clinical research networks, including the recently launched Accrual to Clinical Trials (ACT) network. As currently deployed, however, the …
  pubmed Dong X, Randolph DA 2020 置信度 0.82
• Decision letter for "Data Clustering Method for Fault-tolerant Privacy Protection of Smart Grid Based on BGN Homomorphic Encryption Algorithm"
  crossref 2026-04-01T21:06:30Z 置信度 0.70
• Homomorphic Encryption in Quantum Computing
  crossref Surojit Mondal, Bikash Debnath, Jadav Chandra Das, Debashis De 2025-05-29T17:06:14Z 置信度 0.70
• Security and Performance-Aware Cloud Computing with Homomorphic Encryption and Trusted Execution Environment
  crossref Ryutaro Onishi, Takuya Suzuki, Shunta Sakai, Hayato Yamana 2024-11-19T18:23:11Z 置信度 0.70
• Dodrant-homomorphic encryption for cloud databases using table lookup
  crossref Thomas Schwarz 2017-10-25T19:19:48Z 置信度 0.70
• Homomorphic encryption for secure healthcare artificial intelligence
  crossref Penelope Yanez, Nikhil Yadav 2026-02-08T02:55:51Z 置信度 0.70
• Fully Homomorphic Encryption for Classification in Machine Learning
  crossref Seiko Arita, Shota Nakasato 2017-06-15T18:36:09Z 置信度 0.70
• Privacy-Preserving Federated Learning Using Homomorphic Encryption With Different Encryption Keys
  crossref Jaehyoung Park, Nam Yul Yu, Hyuk Lim 2022-11-25T22:41:09Z 置信度 0.70
• Secure cloud computing algorithm using homomorphic encryption and multi-party computation
  crossref Debasis Das 2018-04-23T19:37:19Z 置信度 0.70
• Lightweight sorting in approximate homomorphic encryption
  Sorting encrypted values is an open research problem that plays a crucial role in the broader objective of providing efficient and practical privacy-preserving online services. The current state of the art work by Mazzone, Everts, Hahn and Peter [USENIX Securi…
  crossref Lorenzo Rovida, Alberto Leporati, Simone Basile 2026-05-04T18:09:08Z 置信度 0.70
• Data Privacy Protection Utilizing Homomorphic Encryption Techniques
  In the current era with the rapid development of the Internet, although a variety of technologies have offered convenience to people's lives, numerous problems have arisen regarding the security of individual and collective data, Problems such as data privacy …
  crossref Zongwei Li 2025-02-21T01:52:58Z 置信度 0.70
• A Somewhat Homomorphic Encryption Scheme based on Multivariate Polynomial Evaluation
  crossref Uddipana Dowerah, Srinivasan Krishnaswamy 2019-06-11T01:18:20Z 置信度 0.70
• Parameter Settings and Efficient Computation for Homomorphic Encryption in CKKS
  This paper investigates the impact of modular reduction backends on the security–performance trade-offs of the CKKS approximate homomorphic encryption scheme. Specifically, we compare a standard Residue Number System–Chinese Remainder Theorem (RNS-CRT) impleme…
  crossref Hemanth Goganaboina, Huapeng Wu 2026-06-01T15:07:52Z 置信度 0.70
• Decision letter for "Data Clustering Method for Fault-tolerant Privacy Protection of Smart Grid Based on BGN Homomorphic Encryption Algorithm"
  crossref 2026-04-01T21:06:30Z 置信度 0.70
• Privacy-Preserving Average Consensus via Homomorphic Encryption
  crossref Mengmeng Qi, Fuyong Wang, Zhongxin Liu, Zengqiang Chen 2023-09-18T17:44:49Z 置信度 0.70
• A Pairing-based Homomorphic Encryption Scheme for Multi-User Settings
  A new method is presented to privately outsource computation of different users. As a significant cryptographic primitive in cloud computing, homomorphic encryption (HE) can evaluate on ciphertext directly without decryption, thus avoid information leakage. Ho…
  crossref Zhang Wei 2019-12-12T14:07:01Z 置信度 0.70
• Secure and Efficient Transfer Learning for Bearing Fault Diagnosis Using Homomorphic Encryption and Coreset Selection
  crossref Taeyoung Yu, Youngdoo Son, Junyoung Byun 2025-05-20T00:43:29Z 置信度 0.70
• Efficient Privacy-Preserving Federated Learning via Homomorphic Encryption-enabled Over-the-Air Computation_supp1-3610887.pdf
  crossref Cheng Li 2025-09-17T17:33:12Z 置信度 0.70
• Fully Homomorphic Encryption over the Integers: From Theory to Practice
  crossref Mehdi Tibouchi 2024-03-12T22:11:53Z 置信度 0.70
• A Randomized Response Protocol Based on Homomorphic Encryption
  The investigation which involves the respondents privacy is hard to ensure the information security. To rectify this problem, Based on Homomorphic Response Protocol (RRPBH), a novel protocol using homomorphic encrypted system is proposed in this paper. The RRP…
  crossref Kun Mei Cao, Ke Li 2014-05-23T14:53:41Z 置信度 0.70
• Homomorphic Encryption for Privacy-Friendly Augmented Democracy
  crossref Matthieu Brabant, Olivier Pereira, Pierrick Meaux 2022-08-03T15:34:25Z 置信度 0.70
• A Weakly Homomorphic Encryption with LDN
  crossref Chao Feng, Yang Xin, Hongliang Zhu, Yixian Yang 2014-06-10T02:59:48Z 置信度 0.70
• Decision letter for "Data Clustering Method for Fault-tolerant Privacy Protection of Smart Grid Based on BGN Homomorphic Encryption Algorithm"
  crossref 2026-04-01T21:06:30Z 置信度 0.70
• Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption
  crossref Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas 等 2025-02-28T12:43:20Z 置信度 0.70
• Securing Signal Encryption Based on Reduced Round Homomorphic AES
  crossref 2023-05-01T06:09:56Z 置信度 0.70
• Homomorphic Encryption for Biometric Template Protection
  crossref Vishnu Naresh Boddeti 2026-01-02T02:58:17Z 置信度 0.70
• A Novice’s Perception of Partial Homomorphic Encryption Schemes
  crossref B. Selva Rani 2016-10-18T09:11:40Z 置信度 0.70
• AN IMPROVED HOMOMORPHIC BASED ENCRYPTION AND DECRYPTION PROCESS ON CLOUD TEXUAL DATA
  crossref 2020-05-23T08:57:20Z 置信度 0.70
• PolyFHEmus: Rethinking Multiplication in Fully Homomorphic Encryption
  crossref Charles Gouert, Nektarios Georgios Tsoutsos 2025-08-27T18:20:15Z 置信度 0.70
• Homomorphic Encryption method for Bio Medical systems
  Globally accessible databanks contain diagnostic results for patients with chronic conditions such as diabetes and hypertension. These resources provide valuable insights, including susceptibility to various diseases and familial relationships. However, the se…
  crossref Gorti Subbarao, Gorti Karthikeya, Gorti Viswaq 2025-05-21T12:28:26Z 置信度 0.70
• More Practical Fully Homomorphic Encryption
  crossref Gu Chunsheng 2013-02-23T11:16:35Z 置信度 0.70
• Hierarchical Homomorphic Encryption Based Privacy Preserving Distributed Association Rule Mining
  crossref Shubhra Rana, P. Santhi Thilagam 2015-02-11T22:19:20Z 置信度 0.70
• Fully homomorphic encryption: A case study
  Fully Homomorphic Encryption (FHE) is the holy grail of encrypted communications. It opens the door to several advanced functionalities to overcome the security and trust issues of the IT world. After 2009, once Craig Gentry had shown that FHE could be achieve…
  crossref J.S. Rauthan 2022-09-20T14:17:13Z 置信度 0.70
• Application of Homomorphic Encryption in Machine Learning
  crossref Yulliwas Ameur, Samia Bouzefrane, Vincent Audigier 2022-11-18T08:29:41Z 置信度 0.70
• Private Set Intersection and Compute
  crossref Flavio Bergamaschi, Tancrède Lepoint, Peter Leihn, Sreekanth Kannepalli 2022-01-03T23:02:43Z 置信度 0.70
• Federated Learning based on Homomorphic Encryption and Digital Signatures
  Federated learning aims to train a centralized federated model using decentralized data sources and to ensure the security and privacy of user data during system training process. Federal learning still faces four challenges: high communication costs, system h…
  crossref Zao Chen 2023-04-06T06:48:58Z 置信度 0.70
• GPU-Accelerated Homomorphic Encryption with Optimized Performance
  crossref Jing Wang, Zecheng Lu 2026-03-31T19:49:32Z 置信度 0.70
• Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview
  crossref Michela Iezzi 2021-03-19T21:10:21Z 置信度 0.70
• Homomorphic Encryption
  crossref Shai Halevi 2017-04-05T16:07:18Z 置信度 0.70
• Privacy-Preserving Parking Lot Surveillance Utilizing Homomorphic Encryption
  crossref Katharina Barlage, Andrei Aleksandrov, Philipp Lämmel 2025-12-23T18:28:12Z 置信度 0.70
• Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
  Artificial intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements and other regulatory obstacles. Feder…
  pubmed Truhn D, Tayebi Arasteh S, Saldanha OL, Müller-Franzes G 等 2024 Feb 置信度 0.82
• Oblivious network intrusion detection systems.
  A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being able to d…
  pubmed Sayed MA, Taha M 2023 Dec 15 置信度 0.82
• Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality.
  To adhere to and capitalize on the benefits of the FAIR (findable, accessible, interoperable, and reusable) principles in agricultural genome-to-phenome studies, it is crucial to address privacy and intellectual property issues that prevent sharing and reuse o…
  pubmed Zhao T, Wang F, Mott R, Dekkers J 等 2024 Mar 6 置信度 0.82
• Medical Imaging Applications of Federated Learning.
  Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL) to several domains ranging from edge computing to banking. The technique's inherent security benefits, privacy-preserving capabilities, ease of scalability, and abilit…
  pubmed Sandhu SS, Gorji HT, Tavakolian P, Tavakolian K 等 2023 Oct 6 置信度 0.82
• RETRACTED: Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.
  The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge approach, leveraging blockchain technolo…
  pubmed Ali A, Ali H, Saeed A, Ahmed Khan A 等 2023 Sep 7 置信度 0.82
• Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning.
  Federated learning is a distributed machine learning framework, which allows users to save data locally for training without sharing data. Users send the trained local model to the server for aggregation. However, untrusted servers may infer users' private inf…
  pubmed Peng K, Shen X, Gao L, Wang B 等 2023 Jul 27 置信度 0.82
• A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems.
  Federated learning (FL) provides a distributed machine learning system that enables participants to train using local data to create a shared model by eliminating the requirement of data sharing. In healthcare systems, FL allows Medical Internet of Things (MIo…
  pubmed Gu X, Sabrina F, Fan Z, Sohail S 2023 Aug 7 置信度 0.82
• Computing Blindfolded: New Developments in Fully Homomorphic Encryption
  crossref Vinod Vaikuntanathan 2011-12-23T16:39:51Z 置信度 0.70
• Homomorphic Encryption for Privacy-Preserving SQL Query Processing in Financial Databases
  crossref 2025-11-13T09:07:51Z 置信度 0.70
• Efficient homomorphic encryption on integer vectors and its applications
  crossref Hongchao Zhou, Gregory Wornell 2014-05-06T00:57:08Z 置信度 0.70
• Cloud Data Security using Homomorphic Encryption
  crossref Sohit Simon, Khusboo Sawant 2018-02-16T07:43:23Z 置信度 0.70
• Efficient Cloud-based Secret Shuffling via Homomorphic Encryption
  crossref Kilian Becher, Thorsten Strufe 2020-10-12T21:03:51Z 置信度 0.70
• Fully homomorphic encryption-based optimal key encryption for privacy preservation in the cloud sector
  crossref Sonam Mittal 2025-04-16T05:56:11Z 置信度 0.70
• Development Paillier's library of fully homomorphic encryption
  One of the new areas of cryptography considered-homomorphic cryptography. The article presents the main areas of application of homomorphic encryption. An analysis of existing developments in the field of homomorphic encryption carried out. The analysis showed…
  crossref Temirbekova Zhanerke Erlanovna, Tynymbayev Sakhybay, Abdiakhmetova Zukhra Muratovna, Turken Gulzat 2024-04-05T16:27:31Z 置信度 0.70
• Integrating fully homomorphic encryption to enhance the security of blockchain applications
  crossref Xiaohua Wu, Jing Wang, Tingbo Zhang 2024-07-16T19:54:42Z 置信度 0.70
• A Novel Lightweight Encryption Model for IoT Healthcare Data Security at Fog Layer: A Hybrid Approach Using Attribute-Based Encryption and Homomorphic Encryption
  The quality of people's lives has risen because of the Internet of Things (IoT), as it connects billions of things worldwide. New methods in order to analyse patient data in the healthcare industry have been developed as a result of IoT development and innovat…
  crossref Vaishali Hitesh Patel, Sanjay G. Patel 2025-04-03T11:21:08Z 置信度 0.70