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

Proceedings

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