About me
Hi!
I am a PhD student at FAIR Paris (Fundamental AI Research lab at Meta) and École polytechnique, advised by Chuan Guo and Alain Durmus, and previously by Alexandre Sablayrolles and Pierre Stock.
My research focuses on privacy preserving machine learning and data protection, from Differential Privacy to Watermarking.
Prior to my PhD I studied at École polytechnique, majoring in computer science and mathematics. I also hold a Master’s degree from École Normale Supérieure Paris-Saclay where I studied Mathematics for vision and learning (MVA). I previously interned at Polytechnique Montreal Université de Montreal, on Reinforcement Learning for Constraint Programing, and at BNP-Paribas where I developed tools for fraud detection. I also spent 6 months as a civil servant in Hanoï (Vietnam) working with the director of USTH, a scientific university.

News
Nov 12, 2024 | Our work “Watermark Anything with Localized Messages” is on arxiv! Paper, model and code are available. |
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Nov 12, 2024 | Our work “Watermarking Makes Language Models” got a spotlight at Neurips! Paper and code are available. |
Jun 1, 2024 | Our work “Differentially Private Representation Learning via Image Captioning” is accepted at ICML 2024 in Vienna! Code and models are released! |
Mar 4, 2024 | Our work “Differentially Private Representation Learning via Image Captioning” is on arxiv! |
Feb 19, 2024 | Our work “Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training” was accepted at AISTATS! |
Jan 1, 2024 | Just created my website |