Today we publish our new pre-print experimenting with tight auditing of differentially private synthetic data generation (DP-SDG) algorithms. Work by Meenatchi Sundaram Muthu Selva Annamalai and Georgi Ganev, to appear at Usenix Security'24. 1/ arxiv.org/abs/2405.10994

Tomorrow at #usesec24 Meenatchi Sundaram Muthu Selva Annamalai will present two papers: 1) A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data 2) "What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation

I am honoured to have presented 2 papers at USENIX Security 2024 (one with Andrea Gadotti + Luc Rocher and the other with Georgi Ganev + @EmilianoDeCristofaro). Met lots of great people, had lots of great conversations, and made a lot of great memories! ✌🏽 📸 pc: Matthieu Meeus

🚨 Our paper featured in New Scientist 😎 Our research, published at @ACM_IMC_2024 (w/Yash Vekaria,Gianluca Anselmi,Alexander D'Souza,P.C,Zubair Shafiq), reveals that Smart TVs from major brands can capture snapshots of what you're watching several times per second📺 Find out more!

Congrats to Meenatchi Sundaram Muthu Selva Annamalai -- the paper "Nearly Tight Black-Box Auditing of Differentially Private Machine Learning" was accepted to #NeurIPS2024 ! Pre-print: arxiv.org/abs/2405.14106

I'll be attending #NeurIPS2024 next week presenting our work on Black-Box Auditing of DP-SGD (neurips.cc/virtual/2024/p…). Looking forward to having lots of chats on privacy and memorization in ML models! Also I am on the other app too!🦋msundarmsa

Today at #NeurIPS2024 Meenatchi Sundaram Muthu Selva Annamalai will present his paper "Nearly Tight Black-Box Auditing of Differentially Private Machine Learning." Starting 4:30pm in West Ballroom A-D, poster #6208. Paper: arxiv.org/abs/2405.14106

.Meenatchi Sundaram Muthu Selva Annamalai's upcoming WWW paper on browser fingerprinting is now available on arXiv arxiv.org/abs/2502.01608

Happy to announce that Dr. Emiliano De Cristofaro was recently recognized as a Distinguished Member of the ACM acm.org/media-center/2…

Huge congrats to Georgi Ganev for receiving the Distinguished Paper Award at #ieeesp25 IEEE S&P for his work "The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets." arxiv.org/pdf/2312.05114…