Paolo Bova - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Capabilities Ain't All You Need: Measuring Propensities in AI. CoRR Daniel Romero-Alvarado, Fernando Martínez-Plumed, Lorenzo Pacchiardi, Hugo Save, Siddhesh Milind Pawar, Behzad Mehrbakhsh, Pablo Antonio Moreno Casares, Ben Slater, Paolo Bova, Peter Romero, Zachary R. Tidler, Jonathan E. Prunty, Luning Sun, José Hernández-Orallo
2026	J	`jnl`	Trust AI regulation? Discerning users are vital to build trust and effective AI regulation. Appl. Math. Comput. Zainab Alalawi, Paolo Bova, Theodor Cimpeanu, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Filippo Zimmaro
2026	J	`jnl`	Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour. CoRR Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo, Nataliya Balabanova, Martin Smit, Chin-wing Leung, Paolo Bova, Manuel Chica Serrano, Dhanushka Dissanayake, Manh Hong Duong, Elias Fernández Domingos, Nikita Huber-Kralj, Marcus Krellner, Andrew Powell, Stefan Sarkadi, Fernando P. Santos, Zia Ush-Shamszaman, Chaimaa Tarzi, Paolo Turrini, Grace Ibukunoluwa Ufeoshi, Víctor Vargas-Pérez, Alessandro Di Stefano, Simon T. Powers, The Anh Han
2025	J	`jnl`	Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis. CoRR Henrique Correia da Fonseca, Antonio Fernandes, Zhao Song, Theodor Cimpeanu, Nataliya Balabanova, Adeela Bashir, Paolo Bova, Alessio Buscemi, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, Ndidi Bianca Ogbo, Simon T. Powers, Daniele Proverbio, Zia Ush-Shamszaman, Fernando P. Santos, The Anh Han, Marcus Krellner
2025	J	`jnl`	Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents. CoRR Alessio Buscemi, Daniele Proverbio, Paolo Bova, Nataliya Balabanova, Adeela Bashir, Theodor Cimpeanu, Henrique Correia da Fonseca, Manh Hong Duong, Elias Fernández Domingos, Antonio Fernandes, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Fernando P. Santos, Zia Ush-Shamszaman, Zhao Song, Alessandro Di Stefano, The Anh Han
2025	J	`jnl`	Media and responsible AI governance: a game-theoretic and LLM analysis. CoRR Nataliya Balabanova, Adeela Bashir, Paolo Bova, Alessio Buscemi, Theodor Cimpeanu, Henrique Correia da Fonseca, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, Antonio Fernandes, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Daniele Proverbio, Fernando P. Santos, Zia Ush-Shamszaman, Zhao Song
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2024	J	`jnl`	Quantifying detection rates for dangerous capabilities: a theoretical model of dangerous capability evaluations. CoRR Paolo Bova, Alessandro Di Stefano, The Anh Han
2024	J	`jnl`	Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation. CoRR Zainab Alalawi, Paolo Bova, Theodor Cimpeanu, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Filippo Zimmaro
2023	J	`jnl`	Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety. CoRR Paolo Bova, Alessandro Di Stefano, The Anh Han
2021	J	`jnl`	Safe Transformative AI via a Windfall Clause. CoRR Paolo Bova, Jonas Emanuel Müller, Benjamin Harack

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.