6 papers
Interpreting Differential Privacy in Terms of Disclosure Risk
Zeki Kazan, Sagar Sharma, Wanrong Zhang +2
As the use of differential privacy (DP) becomes widespread, the development of effective tools for reasoning about the privacy guarantee becomes increasingly critical. In pursuit o…
PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
Jian Du, Haohao Qian, Shikun Zhang +6
This paper tackles the challenging and practical problem of multi-identifier private user profile matching for privacy-preserving ad measurement, a cornerstone of modern advertisin…
When Focus Enhances Utility: Target Range LDP Frequency Estimation and Unknown Item Discovery
Bo Jiang, Wanrong Zhang, Donghang Lu +2
Local Differential Privacy (LDP) protocols enable the collection of randomized client messages for data analysis, without the necessity of a trusted data curator. Such protocols ha…
Meeting Utility Constraints in Differential Privacy: A Privacy-Boosting Approach
Bo Jiang, Wanrong Zhang, Donghang Lu +3
Data engineering often requires accuracy (utility) constraints on results, posing significant challenges in designing differentially private (DP) mechanisms, particularly under str…
Budget Recycling Differential Privacy
Bo Jiang, Jian Du, Sagar Sharma +1
Differential Privacy (DP) mechanisms usually {force} reduction in data utility by producing "out-of-bound" noisy results for a tight privacy budget. We introduce the Budget Recycli…
AnonPSI: An Anonymity Assessment Framework for PSI
Bo Jiang, Jian Du, Qiang Yan
Private Set Intersection (PSI) is a widely used protocol that enables two parties to securely compute a function over the intersected part of their shared datasets and has been a s…