Benjamin Steenhoek

18 papers A* 4A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. ICSE Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2025	J	`jnl`	CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning. CoRR Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le
2025	—	`conf`	Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. DeepTest Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2025	J	`jnl`	Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation. CoRR Spandan Garg, Benjamin Steenhoek, Yufan Huang
2024	J	`jnl`	A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Earl T. Barr, Wei Le
2024	J	`jnl`	Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. CoRR Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2024	A*	`conf`	Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. ICSE Benjamin Steenhoek, Hongyang Gao, Wei Le
2024	A*	`conf`	TRACED: Execution-aware Pre-training for Source Code. ICSE Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2023	J	`jnl`	A Study of Static Warning Cascading Tools (Experience Paper). CoRR Xiuyuan Guo, Ashwin Kallingal Joshy, Benjamin Steenhoek, Wei Le, Lori Flynn
2023	A*	`conf`	An Empirical Study of Deep Learning Models for Vulnerability Detection. ICSE Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2023	J	`jnl`	Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin, Wei Le
2023	J	`jnl`	Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy
2023	J	`jnl`	Reproducing Failures in Fault Signatures. CoRR Ashwin Kallingal Joshy, Benjamin Steenhoek, Xiuyuan Guo, Wei Le
2023	J	`jnl`	TRACED: Execution-aware Pre-training for Source Code. CoRR Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2022	J	`jnl`	An Empirical Study of Deep Learning Models for Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2022	J	`jnl`	DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection. CoRR Benjamin Steenhoek, Wei Le, Hongyang Gao
2021	J	`jnl`	Validating Static Warnings via Testing Code Fragments. CoRR Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le
2021	A	`conf`	Validating static warnings via testing code fragments. ISSTA Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le

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.