Federico Adolfi

15 papers A* 3B 3Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Content-agnostic online segmentation as a core operation. CogSci Federico Adolfi, Yue Sun, David Poeppel
2025	A*	`conf`	The Computational Complexity of Circuit Discovery for Inner Interpretability. ICLR Federico Adolfi, Martina G. Vilas, Todd Wareham
2024	B	`conf`	Complexity-Theoretic Limits on the Promises of Artificial Neural Network Reverse-Engineering. CogSci Federico Adolfi, Martina G. Vilas, Todd Wareham
2024	J	`jnl`	MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. CoRR Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers
2024	J	`jnl`	Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. CoRR Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig
2024	A*	`conf`	Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. ICML Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig
2024	J	`jnl`	The Computational Complexity of Circuit Discovery for Inner Interpretability. CoRR Federico Adolfi, Martina G. Vilas, Todd Wareham
2023	J	`jnl`	A Computational Complexity Perspective on Segmentation as a Cognitive Subcomputation. Top. Cogn. Sci. Federico Adolfi, Todd Wareham, Iris van Rooij
2023	J	`jnl`	On the importance of severely testing deep learning models of cognition. Cogn. Syst. Res. Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, Marin Dujmovic, Milton Llera Montero, Valerio Biscione, Guillermo Puebla, John E. Hummel, Rachel F. Heaton
2023	J	`jnl`	Successes and critical failures of neural networks in capturing human-like speech recognition. Neural Networks Federico Adolfi, Jeffrey S. Bowers, David Poeppel
2022	B	`conf`	Computational Complexity of Segmentation. CogSci Federico Adolfi, Todd Wareham, Iris van Rooij
2022	J	`jnl`	Computational Complexity of Segmentation. CoRR Federico Adolfi, Todd Wareham, Iris van Rooij
2022	J	`jnl`	Successes and critical failures of neural networks in capturing human-like speech recognition. CoRR Federico Adolfi, Jeffrey S. Bowers, David Poeppel
2020	A*	`conf`	Gibbs Sampling with People. NeurIPS Peter M. C. Harrison, Raja Marjieh, Federico Adolfi, Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby
2020	J	`jnl`	Gibbs Sampling with People. CoRR Peter M. C. Harrison, Raja Marjieh, Federico Adolfi, Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby

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.