Results 21 to 30 of about 56,445 (299)
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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Differential privacy with compression [PDF]
2009 IEEE International Symposium on Information Theory, 2009 This work studies formal utility and privacy guarantees for a simple multiplicative database transformation, where the data are compressed by a random linear or affine transformation, reducing the number of data records substantially, while preserving the number of original input variables.
Zhou, Shuheng +2 more
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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
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Combinational Randomized Response Mechanism for Unbalanced Multivariate Nominal Attributes
IEEE Access, 2020 At present, many enterprises provide users with better services by collecting their sensitive information. However, these enterprises will inevitably cause the leakage of users' information, thereby infringing on users' privacy.
Xuejie Feng +3 more
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Privacy-Preserving Bin-Packing With Differential Privacy
IEEE Open Journal of Signal Processing, 2022 With the emerging of e-commerce, package theft is at a high level: It is reported that 1.7 million packages are stolen or lost every day in the U.S. in 2020, which costs $25 million every day for the lost packages and the service.
Tianyu Li +2 more
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Privacy-aware eye tracking using differential privacy [PDF]
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019 With eye tracking being increasingly integrated into virtual and augmented reality (VR/AR) head-mounted displays, preserving users’ privacy is an ever more important, yet under-explored, topic in the eye tracking community. We report a large-scale online survey (N=124) on privacy aspects of eye tracking that provides the first comprehensive account of ...
Steil, J. +3 more
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Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees [PDF]
IEEE Transactions on Information Forensics and Security, 2017 Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers, namely that the presence or absence of any individual in a data set does not significantly influence the results of analyses on the data set.
Soria Comas, Jordi +3 more
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Differential Privacy in Practice: Expose your Epsilons!
The Journal of Privacy and Confidentiality, 2019 Differential privacy is at a turning point. Implementations have been successfully leveraged in private industry, the public sector, and academia in a wide variety of applications, allowing scientists, engineers, and researchers the ability to learn ...
Cynthia Dwork +2 more
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, 2020 Statistical databases store the data of a large number of individuals, and data analysts are allowed to pose statistical queries about those data. Typical queries include average values, total counting, or the percentage of the entries that satisfy a given property. © Springer Nature Switzerland AG 2020.
Alvim, M.S. +5 more
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