Meenatchi Sundaram Muthu Selva Annamalai

According to our database, Meenatchi Sundaram Muthu Selva Annamalai authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries.

Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith

CoRR, July, 2025

The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing.

Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro

CoRR, June, 2025

Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy.

Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro

CoRR, April, 2025

The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data.

Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro

CoRR, April, 2025

The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging.

Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro

Trans. Mach. Learn. Res., 2025

Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions.

Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor Bilogrevic

Proceedings of the ACM on Web Conference 2025, 2025

2024

To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling.

Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Emiliano De Cristofaro, Jamie Hayes

CoRR, 2024

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging.

Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro

CoRR, 2024

A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data.

Meenatchi Sundaram Muthu Selva Annamalai, Andrea Gadotti, Luc Rocher

Proceedings of the 33rd USENIX Security Symposium, 2024

"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation.

Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro

Proceedings of the 33rd USENIX Security Symposium, 2024

Nearly Tight Black-Box Auditing of Differentially Private Machine Learning.

Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting.

Meenatchi Sundaram Muthu Selva Annamalai, Igor Bilogrevic, Emiliano De Cristofaro

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss.

Meenatchi Sundaram Muthu Selva Annamalai

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2022

Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.

Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye

Proceedings of the 31st USENIX Security Symposium, 2022

2021

Privacy-Preserving Collective Learning With Homomorphic Encryption.

Jestine Paul, Meenatchi Sundaram Muthu Selva Annamalai, William Ming, Ahmad Al Badawi, Bharadwaj Veeravalli, Khin Mi Mi Aung

IEEE Access, 2021

The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries.

Luc Rocher, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye

Proceedings of the Companion of The Web Conference 2021, 2021