2 citations · 2 across the 4 of their papers we have counts for
4 papers
General-Purpose -DP Estimation and Auditing in a Black-Box Setting
Önder Askin, Holger Dette, Martin Dunsche +4
In this paper we propose new methods to statistically assess -Differential Privacy (-DP), a recent refinement of differential privacy (DP) that remedies certain weaknesses of…
Flexible Non-interactive Short-term Implicit Certificate Generation for VANETs
Rui Liu, Yun Lu, Jianping Pan
A leading industry standard for secure and trusted communication in vehicular ad-hoc networks (VANETs) is the Security Credential Management System (SCMS). It uses anonymous certif…
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
Yu Wei, Yun Lu, Malik Magdon-Ismail +1
We investigate the privacy of {\em any} algorithm whose outputs have Gaussian distribution. This work is motivated by the prevalence of such algorithms in several useful (ML) appli…
How Private Are Commonly-Used Voting Rules?
Ao Liu, Yun Lu, Lirong Xia +1
Differential privacy has been widely applied to provide privacy guarantees by adding random noise to the function output. However, it inevitably fails in many high-stakes voting sc…