3 citations · 3 across the 1 of their papers we have counts for
4 papers
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…
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy
Joseph P. Near, David Darais, Chike Abuah +8
During the past decade, differential privacy has become the gold standard for protecting the privacy of individuals. However, verifying that a particular program provides different…
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations
Lun Wang, Joseph P. Near, Neel Somani +4
The increasing pace of data collection has led to increasing awareness of privacy risks, resulting in new data privacy regulations like General data Protection Regulation (GDPR). S…
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo, Lun Wang, Xinyu Xing +2
A trojan backdoor is a hidden pattern typically implanted in a deep neural network. It could be activated and thus forces that infected model behaving abnormally only when an input…