5 citations · 9 across the 12 of their papers we have counts for
3 papers · 2 filters
Reliable Estimation of Differential Privacy under Selection Bias
Valentin Dorseuil, Meenatchi Sundaram Muthu Selva Annamalai, Jamal Atif +2
Statistical privacy audits are essential for verifying the theoretical privacy guarantees of differentially private (DP) mechanisms. Auditors typically use Membership Inference Att…
Tight Auditing of Differential Privacy in MST and AIM
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Bogdan Kulynych
State-of-the-art Differentially Private (DP) synthetic data generators such as MST and AIM are widely used, yet tightly auditing their privacy guarantees remains challenging. We in…
CLIOPATRA: Extracting Private Information from LLM Insights
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Peter Kairouz
The widespread adoption of AI assistants has encouraged the development of privacy-aware platforms designed to extract insights from real-world usage. Their privacy protections pri…