Ben Kretzu - RankMe

14 papers A* 4A 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. EACL (Findings) Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	A*	`conf`	Aligned Multi Objective Optimization. ICML Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2025	J	`jnl`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. CoRR Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	J	`jnl`	Simple Optimizers for Convex Aligned Multi-Objective Optimization. CoRR Ben Kretzu, Karen Ullrich, Yonathan Efroni
2024	A*	`conf`	Projection-Free Online Convex Optimization with Time-Varying Constraints. ICML Dan Garber, Ben Kretzu
2024	J	`jnl`	Projection-Free Online Convex Optimization with Time-Varying Constraints. CoRR Dan Garber, Ben Kretzu
2023	A*	`conf`	Projection-free Online Exp-concave Optimization. COLT Dan Garber, Ben Kretzu
2023	J	`jnl`	Projection-free Online Exp-concave Optimization. CoRR Dan Garber, Ben Kretzu
2022	A*	`conf`	New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees. COLT Dan Garber, Ben Kretzu
2022	J	`jnl`	New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees. CoRR Dan Garber, Ben Kretzu
2021	A	`conf`	Revisiting Projection-free Online Learning: the Strongly Convex Case. AISTATS Ben Kretzu, Dan Garber
2020	A	`conf`	Improved Regret Bounds for Projection-free Bandit Convex Optimization. AISTATS Dan Garber, Ben Kretzu
2020	J	`jnl`	Revisiting Projection-free Online Learning: the Strongly Convex Case. CoRR Dan Garber, Ben Kretzu
2019	J	`jnl`	Improved Regret Bounds for Projection-free Bandit Convex Optimization. CoRR Dan Garber, Ben Kretzu

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.