Results 21 to 30 of about 27,791 (249)
Review of Differential Privacy Research [PDF]
Jisuanji kexue, 2023 In the past decade,widespread data collection has become the norm.With the rapid development of large-scale data analysis and machine learning,data privacy is facing fundamental challenges.Exploring the trade-offs between privacy protection and data ...
ZHAO Yuqi, YANG Min
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Local Differential Privacy for Belief Functions
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 In this paper, we propose two new definitions of local differential privacy for belief functions. One is based on Shafer’s semantics of randomly coded messages and the other from the perspective of imprecise probabilities. We show that such basic properties as composition and post-processing also hold for our new definitions.
Qiyu Li +3 more
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RCP:Mean Value Protection Technology Under Local Differential Privacy [PDF]
Jisuanji kexue, 2023 This paper mainly focuses on the mean estimation problem in differential privacy query.After introducing the current mainstream local differential privacy design scheme of numerical data mean estimation,it first introduces the random censoring mechanism ...
LIU Likang, ZHOU Chunlai
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Local Differential Privacy for Federated Learning
, 2022 17 ...
Mahawaga Arachchige Pathum Chamikara +6 more
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A Shuffling Framework for Local Differential Privacy
CoRR, 2021 ldp deployments are vulnerable to inference attacks as an adversary can link the noisy responses to their identity and subsequently, auxiliary information using the order of the data. An alternative model, shuffle DP, prevents this by shuffling the noisy responses uniformly at random.
Casey Meehan +3 more
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Successive Point-of-Interest Recommendation With Local Differential Privacy
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
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Local differential privacy-based frequent sequence mining
Journal of King Saud University: Computer and Information Sciences, 2022 Frequent sequence mining (FSM) is a fundamental component for analyzing sequential data in the big data era. However, collecting and analyzing sequence data incurs serious privacy issues for users.
Teng Wang, Zhi Hu
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Local Differential Privacy Graph Data Modeling Method for Link Prediction
Journal of Harbin University of Science and Technology, 2023 To solve the problem of node sensitive link privacy being exposed in the process of link prediction on industrial business graph data , according to the theory of local differential privacy , the shortcomings of the existing graph privacy protection ...
HANQilong, WUXiaoming
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Local Differential Privacy Location Protection for Mobile Terminals Based on Huffman Coding [PDF]
Jisuanji kexue yu tansuoThe location information of mobile terminals is closely linked to personal privacy, which may threaten users’ life and property safety if leaked. Local differential privacy model provides strict privacy protection effect, allows users to handle and ...
YAN Yan, LYU Yaqin, LI Feifei
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Local Differential Privacy for Bayesian Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Motivated by the increasing concern about privacy in nowadays data-intensive online learning systems, we consider a black-box optimization in the nonparametric Gaussian process setting with local differential privacy (LDP) guarantee. Specifically, the rewards from each user are further corrupted to protect privacy and the learner only has access to the
Xingyu Zhou 0001, Jian Tan
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