133 citations · 187 across the 13 of their papers we have counts for
4 papers · 1 filter
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance
Usmann Khan, Lun Wang, Jithendaraa Subramanian +2
Today's massive scale of data collection coupled with recent surges of consumer data leaks has led to increased attention towards data privacy and related risks. Conventional data…
Towards Bidirectional Protection in Federated Learning
Lun Wang, Qi Pang, Shuai Wang +1
Prior efforts in enhancing federated learning (FL) security fall into two categories. At one end of the spectrum, some work uses secure aggregation techniques to hide the individua…
Towards practical differentially private causal graph discovery
Lun Wang, Qi Pang, Dawn Song
Causal graph discovery refers to the process of discovering causal relation graphs from purely observational data. Like other statistical data, a causal graph might leak sensitive…
D2P-Fed: Differentially Private Federated Learning With Efficient Communication
Lun Wang, Ruoxi Jia, Dawn Song
In this paper, we propose the discrete Gaussian based differentially private federated learning (D2P-Fed), a unified scheme to achieve both differential privacy (DP) and communicat…