Ulysse Marteau-Ferey

14 papers A* 4A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Finding global minima via kernel approximations. Math. Program. Alessandro Rudi, Ulysse Marteau-Ferey, Francis R. Bach
2024	J	`jnl`	Second Order Conditions to Decompose Smooth Functions as Sums of Squares. SIAM J. Optim. Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2023	J	`jnl`	SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. CoRR Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet
2023	A*	`conf`	SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet
2022	—	`—`	Modelling functions with kernels: from logistic regression to global optimisation. (De la régression logistique à l'optimisation globale, modéliser des fonctions avec des noyaux). Ulysse Marteau-Ferey
2022	A	`conf`	Sampling from Arbitrary Functions via PSD Models. AISTATS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Sampling from Arbitrary Functions via PSD Models. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Finding Global Minima via Kernel Approximations. CoRR Alessandro Rudi, Ulysse Marteau-Ferey, Francis R. Bach
2020	A*	`conf`	Non-parametric Models for Non-negative Functions. NeurIPS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Non-parametric Models for Non-negative Functions. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2019	A*	`conf`	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. COLT Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. CoRR Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi
2019	A*	`conf`	Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. NeurIPS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi

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.