175 citations · 531 across the 38 of their papers we have counts for
4 papers · 1 filter
Estimating Numerical Distributions under Local Differential Privacy
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg +2
When collecting information, local differential privacy (LDP) relieves the concern of privacy leakage from users' perspective, as user's private information is randomized before se…
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
Tianhao Wang, Florian Kerschbaum
Watermarking of deep neural networks (DNN) can enable their tracing once released by a data owner. In this paper, we generalize white-box watermarking algorithms for DNNs, where th…
Improving Utility and Security of the Shuffler-based Differential Privacy
Tianhao Wang, Bolin Ding, Min Xu +5
When collecting information, local differential privacy (LDP) alleviates privacy concerns of users because their private information is randomized before being sent it to the centr…
Locally Differentially Private Frequency Estimation with Consistency
Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li +2
Local Differential Privacy (LDP) protects user privacy from the data collector. LDP protocols have been increasingly deployed in the industry. A basic building block is frequency o…