Federico Landi

25 papers A 1B 3Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Heyu Si, Brandon James Denis, Muyang Sun, Dragos Datcu, Yaoru Li, Xin Jin, Ruiju Fu, Yuliia Tatarinova, Federico Landi, Jie Song, Mingli Song, Qi Guo
2026 J jnl
CoRR
Yaoru Li, Federico Landi, Marco Godi, Xin Jin, Ruiju Fu, Yufei Ma, Muyang Sun, Heyu Si, Qi Guo
2025 J jnl
CoRR
Yaoru Li, Heyu Si, Federico Landi, Pilar Oplustil Gallegos, Ioannis Koutsoumpas, O. Ricardo Cortez Vazquez, Ruiju Fu, Qi Guo, Xin Jin, Shunyu Liu, Mingli Song
2022 — conf
CVPR Workshops
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
2022 J jnl
CoRR
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
2022 — conf
ECCV (8)
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
2022 — conf
ICIAP (1)
Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
2022 J jnl
CoRR
Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
2022 J jnl
IEEE Robotics Autom. Lett.
Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara
2022 B conf
ICPR
Federico Landi, Roberto Bigazzi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2022 J jnl
CoRR
Federico Landi, Roberto Bigazzi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2022 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
2021 J jnl
CoRR
Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara
2021 J jnl
Comput. Vis. Image Underst.
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Massimiliano Corsini, Rita Cucchiara
2021 — conf
CAIP (1)
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2021 J jnl
CoRR
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2021 J jnl
CoRR
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara
2021 J jnl
Neural Networks
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara
2020 B conf
ICPR
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2020 J jnl
CoRR
Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
2020 B conf
ICPR
Matteo Fincato, Federico Landi, Marcella Cornia, Fabio Cesari, Rita Cucchiara
2019 J jnl
CoRR
Federico Landi, Cees G. M. Snoek, Rita Cucchiara
2019 A conf
BMVC
Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
2019 J jnl
CoRR
Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara
2019 J jnl
CoRR
Federico Landi, Lorenzo Baraldi, Marcella Cornia, Massimiliano Corsini, Rita Cucchiara

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.