Eric Aubinais

I am a doctoral student under the supervision of Elisabeth Gassiat (Laboratoire de Mathématiques d'Orsay) and Pablo Piantanida (ILLS - International Laboratory on Learning Systems) since Novembre 2022.

 

Works and research interests.

I mainly work on privacy questions in Machine Learning models, both theoretically and empirically. More generally, I am interested in Machine Learning, both through its latest breakthroughs and its theoretical understanding.

 

(Pre-)publications

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study, 
E. A., P. Formont, P. Piantanida, E. Gassiat, january 2025, arXiv:2502.06567.

Fundamental Limits of Membership Inference Attacks on Machine Learning Models,
E. A., E. Gassiat, P. Piantanida, october 2023, arXiv:2310.13786.

 

Talks

  • Seminar Céleste - Orsay, France - February 2025
  • Conference AHIDI2024 - Verona, Italy- November 2024
  • Workshop ILLS - Montreal, QC Canada - September 2024

 

Conferences

  • Conference AHIDI2024 - Verona, Italy - Novembre 2024
  • Workshop NLP - MILA, Montreal, QC Canada - October 2024
  • IILS Workshop - Montreal, QC Canada - September 2024 
  • Conference on Medical Imaging with Deep Learning - ETS, Montreal, QC Canada - October 2023
  • Conference DataIA - Orsay, France - 2023

 

Teaching

Graduate Teaching Assistant for a course of Probability and Statistics - Polytech Unversité Paris-Saclay - 2023, 2024

Contact

Office 3A4 

Laboratoire de mathématiques d'Orsay
Bât. 307
Université Paris-Saclay
91405 Orsay 

 

e-mail : eric.aubinais@universite-paris-saclay.fr
github : https://github.com/eaubinais