Tao Feng

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Appl. Math. Lett.
Yu Zhu, Tao Feng
2024 J jnl
SIAM J. Appl. Math.
Tao Feng, Zhipeng Qiu, Hao Wang
2023 J jnl
Appl. Math. Lett.
Tao Feng, Chenbo Liu
2023 J jnl
J. Appl. Math. Comput.
Huayu Liu, Chenbo Liu, Tao Feng
2022 J jnl
Appl. Math. Lett.
Tao Feng
2022 J jnl
Int. J. Bifurc. Chaos
Fumin Zhang, Zhipeng Qiu, Tao Feng, Yanfei Dai, Guihong Fan
2021 J jnl
Appl. Math. Lett.
Tao Feng, Zhipeng Qiu
2021 J jnl
SIAM J. Appl. Math.
Tao Feng, Zhipeng Qiu, Yun Kang
2020 J jnl
J. Frankl. Inst.
Tao Feng, Zhipeng Qiu
2019 J jnl
Appl. Math. Comput.
Tao Feng, Zhipeng Qiu, Xinzhu Meng, Libin Rong
2019 J jnl
J. Frankl. Inst.
Tao Feng, Zhipeng Qiu, Yi Song

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.