I am a final-year PhD student in Computer Science at EPFL, the Swiss Federal Institute of Technology in Lausanne, working on trustworthy machine learning. My research interests include privacy, robustness, and unlearning, including within distributed and collaborative learning environments. I graduated from Ecole Polytechnique in Mathematics and Computer Science, and have also conducted research at Amazon and Stanford University.

Selected Publications

A full list of publications is available at this page.

Distributional Unlearning: Forgetting Distributions, Not Just Samples [paper]
Y. Allouah, R. Guerraoui, S. Koyejo. ICML 2025 Machine Unlearning for Generative AI workshop, Oral

Towards Trustworthy Federated Learning with Untrusted Participants [paper]
Y. Allouah, R. Guerraoui, J. Stephan. ICML 2025

Certified Unlearning for Neural Networks [paper][code]
A. Koloskova*, Y. Allouah*, A. Jha, R. Guerraoui, S. Koyejo. (*equal contribution) ICML 2025

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning [paper][slides]
Y. Allouah, J. Kazdan, R. Guerraoui, S. Koyejo. ICLR 2025

The Privacy Power of Correlated Noise in Decentralized Learning [paper][code]
Y. Allouah, A. Koloskova, A. El Firdoussi, M. Jaggi, R. Guerraoui. ICML 2024

Robust Sparse Voting [paper][code]
Y. Allouah, R. Guerraoui, L. Hoang, O. Villemaud. AISTATS 2024

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity [paper][code][video]
Y. Allouah, R. Guerraoui, N. Gupta, R. Pinot, G. Rizk. NeurIPS 2023, Spotlight

On the Privacy-Robustness-Utility Trilemma in Distributed Learning [paper][video]
Y. Allouah, R. Guerraoui, N. Gupta, R. Pinot, J. Stephan. ICML 2023

Fixing by Mixing: a Recipe for Optimal Byzantine ML under Heterogeneity [paper]
Y. Allouah, S. Farhadkhani, R. Guerraoui, N. Gupta, R. Pinot, J. Stephan. AISTATS 2023

Talks (outdated)

Trustworthy Machine Learning [video] UM6P College of Computing, 2024
Trustworthy Machine Learning: Robustness and Privacy [video] MoroccoAI Seminar, 2023
Robust Sparse Voting [video] PODC 2022; Tournesol Talks, 2023