Results 41 to 50 of about 1,840,684 (372)
Privacy preservation by disassociation [PDF]
Proceedings of the VLDB Endowment, 2012 In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by ...
Terrovitis, M +3 more
openaire +3 more sources
Privacy-Preserving Aggregation in Federated Learning: A Survey [PDF]
IEEE Transactions on Big Data, 2022 Over the recent years, with the increasing adoption of Federated Learning (FL) algorithms and growing concerns over personal data privacy, Privacy-Preserving Federated Learning (PPFL) has attracted tremendous attention from both academia and industry ...
Ziyao Liu +5 more
semanticscholar +1 more source
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
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory [PDF]
, 2019 A deterministic privacy metric using non-stochastic information theory is developed. Particularly, minimax information is used to construct a measure of information leakage, which is inversely proportional to the measure of privacy.
Farokhi, Farhad
core +2 more sources
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 in Blockchain-based Federated Learning Systems [PDF]
Computer CommunicationsFederated Learning (FL) has recently arisen as a revolutionary approach to collaborative training Machine Learning models. According to this novel framework, multiple participants train a global model collaboratively, coordinating with a central ...
Sameera K.M. +6 more
semanticscholar +1 more source
ACM Transactions on Intelligent Systems and Technology, 2023 The provision of privacy-preserving recommendations for geological tourist attractions is an important research area. The historical check-in data collected from location-based social networks (LBSNs) can be utilized to mine their preferences, thereby ...
Yuwen Liu +6 more
semanticscholar +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
Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Machine learning (ML) has been widely recognized as an enabler of the global trend of digital transformation. With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of the key concerns that could
Ziyao Liu +3 more
semanticscholar +1 more source
Privacy-Preserving Loyalty Programs [PDF]
, 2015 Presented at the 9th DPM International Workshop on Data Privacy Management (DPM 2014, held on Sep. 10, 2014).
Blanco-Justicia, Alberto +1 more
openaire +2 more sources