44 citations · 218 across the 42 of their papers we have counts for
3 papers · 1 filter
Verified Foundations for Differential Privacy
Markus de Medeiros, Muhammad Naveed, Tancrède Lepoint +7
Differential privacy (DP) has become the gold standard for privacy-preserving data analysis, but implementing it correctly has proven challenging. Prior work has focused on verifyi…
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni
Neural networks are vulnerable to backdoor poisoning attacks, where the attackers maliciously poison the training set and insert triggers into the test input to change the predicti…
Learning Differentially Private Mechanisms
Subhajit Roy, Justin Hsu, Aws Albarghouthi
Differential privacy is a formal, mathematical definition of data privacy that has gained traction in academia, industry, and government. The task of correctly constructing differe…