El Mahdi El Mhamdi

25 papers A* 4A 1B 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variance-Reduced (ϵ,δ)-Unlearning using Forget Set Gradients. CoRR Martin Van Waerebeke, Marco Lorenzi, Kevin Scaman, El Mahdi El Mhamdi, Giovanni Neglia
2025	J	`jnl`	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. Comput. Electron. Agric. Ali el Bilali, Abdessamad Hadri, Abdeslam Taleb, Meryem Tanarhte, El Mahdi El Mhamdi, Mohamed Hakim Kharrou
2024	J	`jnl`	Incentivized Learning in Principal-Agent Bandit Games. CoRR Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus
2021	A*	`conf`	Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent. ICLR El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
2020	J	`jnl`	Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training. CoRR Andrei Kucharavy, El Mahdi El Mhamdi, Rachid Guerraoui
2020	—	`—`	Robust Distributed Learning. El Mahdi El Mhamdi
2019	J	`jnl`	Exploring the Borderlands of the Gathering Problem. Bull. EATCS El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez
2019	J	`jnl`	Fatal Brain Damage. CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Sergei Volodin
2019	J	`jnl`	SGD: Decentralized Byzantine Resilience. CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault
2018	A*	`conf`	Asynchronous Byzantine Machine Learning (the case of SGD). ICML Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki
2018	J	`jnl`	Asynchronous Byzantine Machine Learning. CoRR Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki
2018	J	`jnl`	Learning to Gather without Communication. CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer, Vladislav Tempez
2018	J	`jnl`	Removing Algorithmic Discrimination (With Minimal Individual Error). CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Lê Nguyên Hoang, Alexandre Maurer
2018	A*	`conf`	The Hidden Vulnerability of Distributed Learning in Byzantium. ICML El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
2018	J	`jnl`	The Hidden Vulnerability of Distributed Learning in Byzantium. CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
2018	J	`jnl`	Virtuously Safe Reinforcement Learning. CoRR C. Henrik Åslund, El Mahdi El Mhamdi, Rachid Guerraoui, Alexandre Maurer
2017	A*	`conf`	Brief Announcement: Byzantine-Tolerant Machine Learning. PODC Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer
2017	J	`jnl`	Byzantine-Tolerant Machine Learning. CoRR Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer
2017	J	`jnl`	Can AIs learn to avoid human interruption? CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer
2017	—	`conf`	Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning. NIPS El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer
2017	—	`conf`	Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent. NIPS Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui, Julien Stainer
2017	J	`jnl`	On The Robustness of a Neural Network. CoRR El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
2017	B	`conf`	On the Robustness of a Neural Network. SRDS El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
2017	A	`conf`	When Neurons Fail. IPDPS El Mahdi El Mhamdi, Rachid Guerraoui
2017	J	`jnl`	When Neurons Fail. CoRR El Mahdi El Mhamdi, Rachid Guerraoui

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.