Results 21 to 30 of about 859,326 (258)
Privacy-Preserving Monotonicity of Differential Privacy Mechanisms
Applied Sciences, 2018 Differential privacy mechanisms can offer a trade-off between privacy and utility by using privacy metrics and utility metrics. The trade-off of differential privacy shows that one thing increases and another decreases in terms of privacy metrics and ...
Hai Liu +5 more
doaj +1 more source
PEIGEN – a Platform for Evaluation, Implementation, and Generation of S-boxes
IACR Transactions on Symmetric Cryptology, 2019 In this paper, a platform named PEIGEN is presented to evaluate security, find efficient software/hardware implementations, and generate cryptographic S-boxes.
Zhenzhen Bao +3 more
doaj +1 more source
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies
, 2022 Genome-wide Association Studies (GWASes) identify genomic variations that are statistically associated with a trait, such as a disease, in a group of individuals.
Decouchant, Jérémie (author) +3 more
core +1 more source
Privacy-preserving machine learning based on secure three-party computations
Безопасность информационных технологий, 2022 The paper is devoted to the analysis of privacy-preserving machine learning systems based on the concept of secure three-party computations. After general information about the purposes of secure multi-party computations and privacy-preserving machine ...
Sergey V. Zapechnikov
doaj +1 more source
Privacy Preserving Context Aware Publish Subscribe Systems 2013-1 [PDF]
, 2013 Publish/subscribe (pub/sub) systems support highly scalable, many to many communications among loosely coupled publishers and subscribers.Modernpub/sub systems perform message routing based on the message content and allow subscribers to receive messages
Nabeel, Mohamed +3 more
core +1 more source
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
Nature CommunicationsGenome-wide association studies help uncover genetic influences on complex traits and diseases. Importantly, multi-site data collaborations enhance the statistical power of these studies but pose challenges due to the sensitivity of genomic data ...
Arjhun Swaminathan +4 more
doaj +1 more source
Blockchain-based privacy-preserving federated learning for mobile crowdsourcing
, 2023 Mobile crowdsourcing (MCS) is an emerging paradigm that enables the outsourcing of a complex task to a group of mobile devices. The ability to utilize the collective power of mobile devices and human intelligence makes MCS a significant tool in various ...
Yang, Tianling +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Secure Federated Evolutionary Optimization—A Survey
EngineeringWith the development of edge devices and cloud computing, the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past decade.
Qiqi Liu +6 more
doaj +1 more source
Privacy Computing: Concept, Computing Framework, and Future Development Trends
Engineering, 2019 With the rapid development of information technology and the continuous evolution of personalized services, huge amounts of data are accumulated by large internet companies in the process of serving users. Moreover, dynamic data interactions increase the
Fenghua Li, Hui Li, Ben Niu, Jinjun Chen
doaj +1 more source