Results 11 to 20 of about 56,445 (299)
Privacy Profiles and Amplification by Subsampling
The Journal of Privacy and Confidentiality, 2020 Differential privacy provides a robust quantifiable methodology to measure and control the privacy leakage of data analysis algorithms. A fundamental insight is that by forcing algorithms to be randomized, their privacy leakage can be characterized by ...
Borja Balle +2 more
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Survey on Privacy Protection Solutions for Recommended Applications [PDF]
Jisuanji kexue, 2021 In the context of the era of big data,various industries want to train recommendation models based on user behavior data to provide users with accurate recommendations.The common characteristics of the used data are huge amount,carrying sensitive ...
DONG Xiao-mei, WANG Rui, ZOU Xin-kai
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, 2023 AbstractDifferential privacy is a technology that allows sharing of information about a dataset while protecting individual privacy by adding noise to the results. It will have the following effect: if the arbitrary single substitution in the database is small enough, then the query result cannot be used to infer much about any single individual.
Valentin Mulder, Mathias Humbert
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State-Based Differential Privacy Verification and Enforcement for Probabilistic Automata
Mathematics, 2023 Roughly speaking, differential privacy is a privacy-preserving strategy that guarantees attackers to be unlikely to infer, from the previous system output, the dataset from which an output is derived. This work introduces differential privacy to discrete
Yuanxiu Teng, Zhiwu Li, Li Yin, Naiqi Wu
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Investigation and Application of Differential Privacy in Bitcoin
IEEE Access, 2022 Bitcoin is one of the best-known cryptocurrencies, which captivated researchers with its innovative blockchain structure. Examinations of this public blockchain resulted in many proposals for improvement in terms of anonymity and privacy.
Merve Can Kus, Albert Levi
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Age-Dependent Differential Privacy
IEEE Transactions on Information Theory, 2022 The proliferation of real-time applications has motivated extensive research on analyzing and optimizing data freshness in the context of age of information. However, classical frameworks of privacy (e.g., differential privacy (DP)) have overlooked the impact of data freshness on privacy guarantees, and hence may lead to unnecessary accuracy loss when ...
Meng Zhang +3 more
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Federated $f$-Differential Privacy
Proceedings of machine learning research, 2021 Federated learning (FL) is a training paradigm where the clients collaboratively learn models by repeatedly sharing information without compromising much on the privacy of their local sensitive data. In this paper, we introduce federated $f$-differential privacy, a new notion specifically tailored to the federated setting, based on the framework of ...
Zheng, Qinqing +3 more
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LinkedIn's Audience Engagements API
The Journal of Privacy and Confidentiality, 2021 We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics related applications.
Ryan Rogers +7 more
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Rényi Differential Privacy [PDF]
2017 IEEE 30th Computer Security Foundations Symposium (CSF), 2017 We propose a natural relaxation of differential privacy based on the Renyi divergence. Closely related notions have appeared in several recent papers that analyzed composition of differentially private mechanisms. We argue that the useful analytical tool can be used as a privacy definition, compactly and accurately representing guarantees on the tails ...
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Gaussian Differential Privacy [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022 AbstractIn the past decade, differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy. This privacy definition and its divergence based relaxations, however, have several acknowledged weaknesses, either in handling composition of private algorithms or in analysing important primitives like privacy ...
Dong, Jinshuo +2 more
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