Lachlan McGinness

13 papers B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science. CoRR Lachlan McGinness, Peter Baumgartner
2025	—	`conf`	Large Language Models Imitate Logical Reasoning, but at What Cost? AI (1) Lachlan McGinness, Peter Baumgartner
2025	J	`jnl`	Large Language Models Imitate Logical Reasoning, but at what Cost? CoRR Lachlan McGinness, Peter Baumgartner
2025	—	`conf`	Overview of AI Grading of Physics Olympiad Exams. AIED Companion (1) Lachlan McGinness
2025	J	`jnl`	Overview of AI Grading of Physics Olympiad Exams. CoRR Lachlan McGinness
2025	J	`jnl`	Particle Builder - Learn about the Standard Model while playing against an AI. CoRR Mohammad Attar, Andrew Carse, Yeming Chen, Thomas Green, Jeong-Yeon Ha, Yanbai Jin, Amy McWilliams, Theirry Panggabean, Zhengyu Peng, Lujin Sun, Jing Ru, Jiacheng She, Jialin Wang, Zilun Wei, Jiayuan Zhu, Lachlan McGinness
2025	J	`jnl`	The AlphaPhysics Term Rewriting System for Marking Algebraic Expressions in Physics Exams. CoRR Peter Baumgartner, Lachlan McGinness
2024	B	`conf`	Automated Theorem Provers Help Improve Large Language Model Reasoning. LPAR Lachlan McGinness, Peter Baumgartner
2024	J	`jnl`	Automated Theorem Provers Help Improve Large Language Model Reasoning. CoRR Lachlan McGinness, Peter Baumgartner
2024	J	`jnl`	CON-FOLD - Explainable Machine Learning with Confidence. CoRR Lachlan McGinness, Peter Baumgartner
2024	J	`jnl`	CON-FOLD Explainable Machine Learning with Confidence. Theory Pract. Log. Program. Lachlan McGinness, Peter Baumgartner
2024	—	`conf`	Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science. AI (1) Lachlan McGinness, Peter Baumgartner, Esther Onyango, Zelalem Lema
2024	J	`jnl`	Steamroller Problems: An Evaluation of LLM Reasoning Capability with Automated Theorem Prover Strategies. CoRR Lachlan McGinness, Peter Baumgartner

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.