Daniele Chiffi

21 papers C 2Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Log. J. IGPL
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio
2025 J jnl
NeuroImage
Bianca Monachesi, Elisabetta Pisanu, Daniele Chiffi, Raffaella Ida Rumiati, Alessandro Grecucci
2024 J jnl
AI Soc.
Giacomo Zanotti, Mattia Petrolo, Daniele Chiffi, Viola Schiaffonati
2023 — conf
AISoLA (Selected Papers)
Giacomo Zanotti, Daniele Chiffi, Viola Schiaffonati
2023 J jnl
Sci. Eng. Ethics
Luca Zanetti, Daniele Chiffi, Lorenza Petrini
2022 J jnl
Minds Mach.
Selene Arfini, Davide Spinelli, Daniele Chiffi
2021 J jnl
FLAP
Daniele Chiffi
2021 J jnl
FLAP
Francesco Bellucci, Daniele Chiffi, Ahti-Veikko Pietarinen
2021 J jnl
Log. J. IGPL
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio
2021 J jnl
FLAP
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio
2021 J jnl
Synth.
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio, Ahti-Veikko Pietarinen
2020 J jnl
Synth.
Daniele Chiffi, Ahti-Veikko Pietarinen
2020 C conf
Diagrams
Francesco Bellucci, Daniele Chiffi, Ahti-Veikko Pietarinen
2020 J jnl
J. Log. Lang. Inf.
Daniele Chiffi, Ahti-Veikko Pietarinen
2020 J jnl
J. Log. Lang. Inf.
Daniele Chiffi, Ahti-Veikko Pietarinen
2018 C conf
Diagrams
Ahti-Veikko Pietarinen, Daniele Chiffi
2018 J jnl
J. Appl. Non Class. Logics
Francesco Bellucci, Daniele Chiffi, Ahti-Veikko Pietarinen
2018 J jnl
J. Log. Comput.
Gianluigi Bellin, Massimiliano Carrara, Daniele Chiffi
2017 J jnl
Log. J. IGPL
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio
2017 J jnl
J. Appl. Log.
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio
2017 J jnl
J. Appl. Log.
Massimiliano Carrara, Daniele Chiffi, Ciro De Florio

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.