El-Mhamdi, El-Mahdi

14 publications

ICLR 2025 Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

TMLR 2025 Inverting Gradient Attacks Makes Powerful Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

ICML 2025 Position: 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 J Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen

ICLRW 2025 Winter Soldier: Hypnotizing Language Models at Pre-Training with Indirect Data Poisoning Wassim Bouaziz, Mathurin Videau, Nicolas Usunier, El-Mahdi El-Mhamdi

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

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

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

NeurIPS 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

ICLR 2021 Distributed Momentum for Byzantine-Resilient Stochastic Gradient Descent El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault

ICLR 2020 The Probabilistic Fault Tolerance of Neural Networks in the Continuous Limit El-Mahdi El-Mhamdi, Rachid Guerraoui, Andrei Kucharavy, Sergei Volodin

ICML 2018 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

NeurIPS 2017 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

NeurIPS 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer