On the Robustness of a Neural Network. - El Mahdi El Mhamdi; Rachid Guerraoui; Sébastien Rouault (SRDS, 2017)

The Hidden Vulnerability of Distributed Learning in Byzantium. - El Mahdi El Mhamdi; Rachid Guerraoui; Sébastien Rouault (ICML, 2018)

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation. - Georgios Damaskinos; El-Mahdi El-Mhamdi; Rachid Guerraoui; Arsany Guirguis; Sébastien Rouault (SysML, 2019)

SGD: Decentralized Byzantine Resilience. - El Mahdi El Mhamdi; Rachid Guerraoui; Arsany Guirguis; Sébastien Rouault (CoRR, 2019)

AKSEL: Fast Byzantine SGD. - Amine Boussetta; El-Mahdi El-Mhamdi; Rachid Guerraoui; Alexandre Maurer; Sébastien Rouault (OPODIS, 2020)

Fast and Robust Distributed Learning in High Dimension. - El-Mahdi El-Mhamdi; Rachid Guerraoui; Sébastien Rouault (SRDS, 2020)

Distributed Momentum for Byzantine-resilient Learning. - El-Mahdi El-Mhamdi; Rachid Guerraoui; Sébastien Rouault (CoRR, 2020)

Collaborative Learning as an Agreement Problem. - El-Mahdi El-Mhamdi; Sadegh Farhadkhani; Rachid Guerraoui; Arsany Guirguis; Lê Nguyên Hoang; Sébastien Rouault (CoRR, 2020)

Garfield: System Support for Byzantine Machine Learning. - El-Mahdi El-Mhamdi; Rachid Guerraoui; Arsany Guirguis; Sébastien Rouault (CoRR, 2020)

GARFIELD: System Support for Byzantine Machine Learning (Regular Paper). - Rachid Guerraoui; Arsany Guirguis; Jérémy Plassmann; Anton Ragot; Sébastien Rouault (DSN, 2021)

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent. - El Mahdi El Mhamdi; Rachid Guerraoui; Sébastien Rouault (ICLR, 2021)

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning). - El-Mahdi El-Mhamdi; Sadegh Farhadkhani; Rachid Guerraoui; Arsany Guirguis; Lê-Nguyên Hoang; Sébastien Rouault (NeurIPS, 2021)

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? - Rachid Guerraoui; Nirupam Gupta; Rafaël Pinot; Sébastien Rouault; John Stephan (PODC, 2021)

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. - Lê-Nguyên Hoang; Louis Faucon; Aidan Jungo; Sergei Volodin; Dalia Papuc; Orfeas Liossatos; Ben Crulis; Mariame Tighanimine; Isabela Constantin; Anastasiia Kucherenko; Alexandre Maurer; Felix Grimberg; et al. (CoRR, 2021)

Combining Differential Privacy and Byzantine Resilience in Distributed SGD. - Rachid Guerraoui; Nirupam Gupta; Rafael Pinot; Sébastien Rouault; John Stephan (CoRR, 2021)

Genuinely distributed Byzantine machine learning. - El-Mahdi El-Mhamdi; Rachid Guerraoui; Arsany Guirguis; Lê-Nguyên Hoang; Sébastien Rouault (Distributed Comput., 2022)

Practical Byzantine-resilient Stochastic Gradient Descent. - Sébastien Rouault (2022)

On Monotonicity in AI Alignment. - Gilles Bareilles; Julien Fageot; Lê-Nguyên Hoang; Peva Blanchard; Wassim Bouaziz; Sébastien Rouault; El-Mahdi El-Mhamdi (CoRR, 2025)