Results 31 to 40 of about 64,907 (298)
Verifiable differential privacy [PDF]
Proceedings of the Tenth European Conference on Computer Systems, 2015 Working with sensitive data is often a balancing act between privacy and integrity concerns. Consider, for instance, a medical researcher who has analyzed a patient database to judge the effectiveness of a new treatment and would now like to publish her findings.
Arjun Narayan +3 more
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WaveCluster with Differential Privacy [PDF]
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015 WaveCluster is an important family of grid-based clustering algorithms that are capable of finding clusters of arbitrary shapes. In this paper, we investigate techniques to perform WaveCluster while ensuring differential privacy. Our goal is to develop a general technique for achieving differential privacy on WaveCluster that accommodates different ...
Ling Chen, Ting Yu 0001, Rada Chirkova
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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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2022 IEEE International Symposium on Information Theory (ISIT), 2022 To appear in the 2022 IEEE International Symposium on Information ...
Ziqi Zhou 0005 +5 more
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Trans. Mach. Learn. Res., 2021 Differential privacy (DP) is a widely-accepted and widely-applied notion of privacy based on worst-case analysis. Often, DP classifies most mechanisms without additive noise as non-private (Dwork et al., 2014). Thus, additive noises are added to improve privacy (to achieve DP).
Ao Liu 0001 +2 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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Per-instance Differential Privacy
The Journal of Privacy and Confidentiality, 2019 We consider a refinement of differential privacy --- per instance differential privacy (pDP), which captures the privacy of a specific individual with respect to a fixed data set.
Yu-Xiang Wang
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Privacy Preservation in the Internet of Vehicles using Local Differential Privacy and IOTA Ledger
, 2023 With the growth in Vehicular Ad Hoc Network (VANET) technology, many vehicular devices are communicating with each other and with the edge nodes, generating a massive amount of data. One of the biggest challenges is to preserve users’ privacy as the data
Khan, A. +4 more
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Asymmetric Differential Privacy
CoRR, 2021 Differential privacy (DP) is getting attention as a privacy definition when publishing statistics of a dataset. This paper focuses on the limitation that DP inevitably causes two-sided error, which is not desirable for epidemic analysis such as how many COVID-19 infected individuals visited location A.
Shun Takagi +2 more
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