Results 51 to 60 of about 1,813,618 (360)
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 Adversarial Facial Features [PDF]
Computer Vision and Pattern Recognition, 2023 Face recognition service providers protect face privacy by extracting compact and discriminative facial features (representations) from images, and storing the facial features for real-time recognition.
Zhibo Wang +9 more
semanticscholar +1 more source
CoRR, 2018 Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
openaire +3 more sources
K-means clustering with local dᵪ-privacy for privacy-preserving data analysis
, 2022 Privacy-preserving data analysis is an emerging area that addresses the dilemma of performing data analysis on user data while protecting users' privacy.
Tjuawinata, Ivan +2 more
core +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
Privacy Preserving Average Consensus [PDF]
IEEE Transactions on Automatic Control, 2014 Average consensus is a widely used algorithm for distributed computing and control, where all the agents in the network constantly communicate and update their states in order to achieve an agreement. This approach could result in an undesirable disclosure of information on the initial state of agent i to the other agents.
Yilin Mo, Richard M. Murray
openaire +3 more sources
Privacy Preserving Frequency Mining in 2-Part Fully Distributed Setting [PDF]
, 2010 Recently, privacy preservation has become one of the key issues in data mining. In many data mining applications, computing frequencies of values or tuples of values in a data set is a fundamental operation repeatedly used.
The Dung LUONG +3 more
core +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
Preserving Privacy in Production [PDF]
, 2014 In modern manufacturing environments, new technologies are introduced that bring machines, analytics and people closer together. As a consequence, a rise in productivity, flexibility and efficiency is expected. However, these technologies raise new privacy concerns as well.
openaire +1 more source