When Neurons Fail. - El Mahdi El Mhamdi; Rachid Guerraoui (IPDPS, 2017)

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent. - Peva Blanchard; El Mahdi El Mhamdi; Rachid Guerraoui; Julien Stainer (NIPS, 2017)

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning. - El Mahdi El Mhamdi; Rachid Guerraoui; Hadrien Hendrikx; Alexandre Maurer (NIPS, 2017)

Brief Announcement: Byzantine-Tolerant Machine Learning. - Peva Blanchard; El Mahdi El Mhamdi; Rachid Guerraoui; Julien Stainer (PODC, 2017)

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

Byzantine-Tolerant Machine Learning. - Peva Blanchard; El Mahdi El Mhamdi; Rachid Guerraoui; Julien Stainer (CoRR, 2017)

Can AIs learn to avoid human interruption? - El Mahdi El Mhamdi; Rachid Guerraoui; Hadrien Hendrikx; Alexandre Maurer (CoRR, 2017)

Asynchronous Byzantine Machine Learning (the case of SGD). - Georgios Damaskinos; El Mahdi El Mhamdi; Rachid Guerraoui; Rhicheek Patra; Mahsa Taziki (ICML, 2018)

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

Learning to Gather without Communication. - El Mahdi El Mhamdi; Rachid Guerraoui; Alexandre Maurer; Vladislav Tempez (CoRR, 2018)

Asynchronous Byzantine Machine Learning. - Georgios Damaskinos; El Mahdi El Mhamdi; Rachid Guerraoui; Rhicheek Patra; Mahsa Taziki (CoRR, 2018)

Virtuously Safe Reinforcement Learning. - C. Henrik Åslund; El Mahdi El Mhamdi; Rachid Guerraoui; Alexandre Maurer (CoRR, 2018)

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

Fatal Brain Damage. - El Mahdi El Mhamdi; Rachid Guerraoui; Sergei Volodin (CoRR, 2019)

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

Fast and Secure Distributed Learning in High Dimension. - El-Mahdi El-Mhamdi; Rachid Guerraoui (CoRR, 2019)

Exploring the Borderlands of the Gathering Problem. - El Mahdi El Mhamdi; Rachid Guerraoui; Alexandre Maurer; Vladislav Tempez (Bull. EATCS, 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)

Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training. - Andrei Kucharavy; El Mahdi El Mhamdi; Rachid Guerraoui (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)

Robust Distributed Learning. - El Mahdi El Mhamdi (2020)

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)

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)

On the Impossible Safety of Large AI Models. - El-Mahdi El-Mhamdi; Sadegh Farhadkhani; Rachid Guerraoui; Nirupam Gupta; Lê-Nguyên Hoang; Rafael Pinot; John Stephan (CoRR, 2022)

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

Removing algorithmic discrimination (with minimal individual error). - El-Mahdi El-Mhamdi; Rachid Guerraoui; Lê-Nguyên Hoang; Alexandre Maurer (Theor. Comput. Sci., 2022)

On the Strategyproofness of the Geometric Median. - El-Mahdi El-Mhamdi; Sadegh Farhadkhani; Rachid Guerraoui; Lê-Nguyên Hoang (AISTATS, 2023)

Incentivized Learning in Principal-Agent Bandit Games. - Antoine Scheid; Daniil Tiapkin; Etienne Boursier; Aymeric Capitaine; Eric Moulines; Michael I. Jordan; El-Mahdi El-Mhamdi; Alain Oliviero Durmus (ICML, 2024)

Unravelling in Collaborative Learning. - Aymeric Capitaine; Etienne Boursier; Antoine Scheid; Eric Moulines; Michael I. Jordan; El-Mahdi El-Mhamdi; Alain Durmus (NeurIPS, 2024)

On Goodhart's law, with an application to value alignment. - El-Mahdi El-Mhamdi; Lê-Nguyên Hoang (CoRR, 2024)

Inverting Gradient Attacks Naturally Makes Data Poisons: An Availability Attack on Neural Networks. - Wassim Bouaziz; El-Mahdi El-Mhamdi; Nicolas Usunier (CoRR, 2024)

Targeted Data Poisoning for Black-Box Audio Datasets Ownership Verification. - Wassim Bouaziz; El-Mahdi El-Mhamdi; Nicolas Usunier (ICASSP, 2025)

Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning. - Wassim Bouaziz; Nicolas Usunier; El-Mahdi El-Mhamdi (ICLR, 2025)

A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area. - Ali el Bilali; Abdessamad Hadri; Abdeslam Taleb; Meryem Tanarhte; El Mahdi El Mhamdi; Mohamed Hakim Kharrou (Comput. Electron. Agric., 2025)

Stop treating 'AGI' as the north-star goal of AI research. - Borhane Blili-Hamelin; Christopher Graziul; Leif Hancox-Li; Hananel Hazan; El-Mahdi El-Mhamdi; Avijit Ghosh; Katherine A. Heller; Jacob Metcalf; Fabricio Murai; Eryk Salvaggio; Andrew Smart; Todd Snider; et al. (CoRR, 2025)

On the Byzantine Fault Tolerance of signSGD with Majority Vote. - Emanuele Mengoli; Luzius Moll; Virgilio Strozzi; El-Mahdi El-Mhamdi (CoRR, 2025)

Approaching the Harm of Gradient Attacks While Only Flipping Labels. - Abdessamad El-Kabid; El-Mahdi El-Mhamdi (CoRR, 2025)

A case for specialisation in non-human entities. - El-Mahdi El-Mhamdi; Lê-Nguyên Hoang; Mariame Tighanimine (CoRR, 2025)

The Strong, Weak and Benign Goodhart's law. An independence-free and paradigm-agnostic formalisation. - Adrien Majka; El-Mahdi El-Mhamdi (CoRR, 2025)

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

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning. - Wassim Bouaziz; Mathurin Videau; Nicolas Usunier; El-Mahdi El-Mhamdi (CoRR, 2025)