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 11, 2026
Abstract submission deadline
March 18, 2026
Paper submission deadline
April 22, 2026
Author notification
June 10-12, 2026
Netys Conference


