Paolo Paradisi

12 papers C 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Networks
Giulia Salzano, Paolo Paradisi, Enrico Cataldo
2025 J jnl
CoRR
Marco Cafiso, Paolo Paradisi
2025 — conf
Ital-IA
Marco Cafiso, Andrea Carboni, Claudia Caudai, Sara Colantonio, Francesco Conti, Mario D'Acunto, Said Daoudagh, Giulio Del Corso, Danila Germanese, Giacomo Ignesti, Gianmarco Lazzini, Giuseppe Riccardo Leone, Massimo Magrini, Davide Moroni, Francesca Pardini, Maria Antonietta Pascali, Paolo Paradisi, Federico Volpini
2024 — conf
CHIRA (2)
Said Daoudagh, Giacomo Ignesti, Davide Moroni, Laura Sebastiani, Paolo Paradisi
2024 C conf
IJCCI
Marco Cafiso, Paolo Paradisi
2024 J jnl
CoRR
Marco Cafiso, Paolo Paradisi
2016 — conf
PhyCS
Paolo Paradisi, Marco Righi, Umberto Barcaro
2015 — conf
ApplePies
Danila Germanese, Marco Righi, Antonio Benassi, Mario D'Acunto, Giuseppe Riccardo Leone, Massimo Magrini, Paolo Paradisi, Dario Puppi, Ovidio Salvetti
2015 J jnl
BMC Syst. Biol.
Paolo Paradisi, Paolo Allegrini, Davide Chiarugi
2014 — conf
IWBBIO
Paolo Paradisi, Davide Chiarugi
2014 — conf
HEALTHINF
Mario D'Acunto, Antonio Benassi, Federica Chiellini, Danila Germanese, Randa Ishak, Massimo Magrini, Emanuele Pagliei, Paolo Paradisi, Marco Righi, Ovidio Salvetti
2008 J jnl
Int. J. Bifurc. Chaos
Paolo Paradisi, Paolo Grigolini, Simone Bianco, Osman C. Akin

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.