Meenatchi Sundaram Muthu Selva Annamalai

25 papers A* 7Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLIOPATRA: Extracting Private Information from LLM Insights.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Peter Kairouz
2025 A* conf
Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions.
WWW
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor Bilogrevic
2025 J jnl
Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Igor Bilogrevic, Emiliano De Cristofaro
2025 J jnl
Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries.
CoRR
Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith
2025 J jnl
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging.
Trans. Mach. Learn. Res.
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2025 J jnl
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro
2025 A* conf
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data.
CCS
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2025 J jnl
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data.
CoRR
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2025 J jnl
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy.
CoRR
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2024 A* conf
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation.
USENIX Security Symposium
Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro
2024 J jnl
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro
2024 A* conf
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data.
USENIX Security Symposium
Meenatchi Sundaram Muthu Selva Annamalai, Andrea Gadotti, Luc Rocher
2024 A* conf
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting.
NDSS
Meenatchi Sundaram Muthu Selva Annamalai, Igor Bilogrevic, Emiliano De Cristofaro
2024 — conf
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss.
AISec@CCS
Meenatchi Sundaram Muthu Selva Annamalai
2024 J jnl
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai
2024 A* conf
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning.
NeurIPS
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2024 J jnl
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2024 J jnl
The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging.
CoRR
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2024 J jnl
To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Emiliano De Cristofaro, Jamie Hayes
2023 J jnl
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Andrea Gadotti, Luc Rocher
2023 J jnl
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting.
CoRR
Meenatchi Sundaram Muthu Selva Annamalai, Igor Bilogrevic, Emiliano De Cristofaro
2023 J jnl
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.
CoRR
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
2022 A* conf
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.
USENIX Security Symposium
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye
2021 J jnl
Privacy-Preserving Collective Learning With Homomorphic Encryption.
IEEE Access
Jestine Paul, Meenatchi Sundaram Muthu Selva Annamalai, William Ming, Ahmad Al Badawi, Bharadwaj Veeravalli, Khin Mi Mi Aung
2021 — conf
The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries.
WWW (Companion Volume)
Luc Rocher, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye