15 citations · 16 across the 4 of their papers we have counts for
4 papers
ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference Attacks
Chihan Huang, Huaijin Wang, Shuai Wang
The pervasive deployment of deep learning models across critical domains has concurrently intensified privacy concerns due to their inherent propensity for data memorization. While…
Statistic Maximal Leakage
Shuaiqi Wang, Zinan Lin, Giulia Fanti
We introduce a privacy measure called statistic maximal leakage that quantifies how much a privacy mechanism leaks about a specific secret, relative to the adversary's prior inform…
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti +1
Backdoor attacks are dangerous and difficult to prevent in federated learning (FL), where training data is sourced from untrusted clients over long periods of time. These difficult…
From Physical to Cyber: Escalating Protection for Personalized Auto Insurance
Le Guan, Jun Xu, Shuai Wang +5
Nowadays, auto insurance companies set personalized insurance rate based on data gathered directly from their customers' cars. In this paper, we show such a personalized insurance…