Youssef Allouah

Bio: Youssef Allouah is a fourth-year PhD candidate at EPFL, Switzerland, specializing in trustworthy machine learning. He previously graduated in Mathematics and Computer Science from École Polytechnique, France, and has conducted research at Stanford University and Amazon. His work explores the theory and practice of robustness and privacy in distributed learning systems, striving to make machine learning more secure, reliable, and adaptable to real-world challenges.

Dates

March 1st, 2025 → March 15th, 2025

Abstract submission deadline

March 8th, 2025 → March 15th, 2025

Paper submission deadline

April 14th ,2025

Accept/Reject notification

May 21-23 ,2025

Netys Conference

Proceedings

Revised selected papers will be published as a post-proceedings in Springer's LNCS "Lecture Notes in Computer Science"

Partners & Sponsors (TBA)