The Hi! PARIS reading groups propose studying a topic using scientific articles from both theoretical and practical perspectives. The reading groups are opportunities for interaction between our corporate donors and our affiliates’ academic teams around selected topics of interest.

Each edition is planned for 2-3 sessions, presenting one topic through 3-4 research papers. For each session: presentation of mathematical models and theoretical advances by a researcher + simulations with a Python notebook by an engineer.

This edition is dedicated to AI Robustness & Security. This session, entitled ‘Towards Deep Learning Models Resistant to Adversarial Attacks’, will be presented by Quentin Bouniot (Hi! PARIS Chair Holder) from Télécom Paris (IP Paris).

Register here: https://us02web.zoom.us/meeting/register/HyFNFuasTSOcN2IcwFm0zg#/registration