Qian Liu

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
IEEE Trans. Cybern.
Qian Liu, Hong Peng, Lifan Long, Jun Wang, Qian Yang, Mario J. Pérez-Jiménez, David Orellana-Martín
2024 J jnl
IEEE Trans. Veh. Technol.
Lei Wang, Hongbin Liang, Guotao Mao, Dongmei Zhao, Qian Liu, Yiting Yao, Han Zhang
2024 J jnl
Appl. Soft Comput.
Yanping Huang, Xinzhu Bai, Qian Liu, Hong Peng, Qian Yang, Jun Wang
2023 J jnl
Int. J. Neural Syst.
Qian Liu, Yanping Huang, Qian Yang, Hong Peng, Jun Wang
2023 J jnl
Neural Networks
Yanping Huang, Hong Peng, Qian Liu, Qian Yang, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez
2023 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Qian Liu, Lifan Long, Hong Peng, Jun Wang, Qian Yang, Xiaoxiao Song, Agustín Riscos-Núñez, Mario J. Pérez-Jiménez
2023 J jnl
Expert Syst. Appl.
Yanping Huang, Qian Liu, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín
2022 J jnl
Int. J. Neural Syst.
Lifan Long, Qian Liu, Hong Peng, Qian Yang, Xiaohui Luo, Jun Wang, Xiaoxiao Song
2022 J jnl
Knowl. Based Syst.
Lifan Long, Rikong Lugu, Xin Xiong, Qian Liu, Hong Peng, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez
2022 J jnl
Knowl. Based Syst.
Qian Liu, Lifan Long, Qian Yang, Hong Peng, Jun Wang, Xiaohui Luo
2022 J jnl
Neural Networks
Lifan Long, Qian Liu, Hong Peng, Jun Wang, Qian Yang

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.