Tao Du

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comput. Networks
Chang-E Ren, Jiamin Ji, Tao Du
2024 J jnl
IEEE Trans Autom. Sci. Eng.
Qingfeng Dou, Tao Du, Shanpeng Wang, Zhenbing Qiu, Jian Yang, Lei Guo
2022 J jnl
IEEE Trans. Instrum. Meas.
Tao Du, Shuyao Shi, Yunhao Zeng, Jian Yang, Lei Guo
2021 J jnl
IEEE Trans. Ind. Electron.
Jian Yang, Xin Liu, Qingyun Zhang, Tao Du, Lei Guo
2020 J jnl
Int. J. Fuzzy Syst.
Chang-E Ren, C. L. Philip Chen, Tao Du, Yong Guan
2020 J jnl
IEEE Trans. Ind. Electron.
Jian Yang, Tao Du, Xin Liu, Ben Niu, Lei Guo
2019 J jnl
Trans. Inst. Meas. Control
Xiaoyu Guo, Jian Yang, Tao Du, Wanquan Liu
2019 J jnl
Int. J. Fuzzy Syst.
Chang-E Ren, C. L. Philip Chen, Tao Du, Yong Guan
2019 J jnl
IEEE Access
Tao Du, Xiong Li, Yuehai Wang, Jian Yang, Wanquan Liu
2019 J jnl
Asia Pac. J. Oper. Res.
Tao Du, Danyang Li, Yan Ren, Chong Lu, Wanquan Liu
2019 — conf
AIPR
Qi Zhang, Huafeng Wang, Tao Du, Sichen Yang, Yuehai Wang, Zhiqiang Xing, Wenle Bai, Yang Yi
2018 J jnl
IEEE Access
Jian Yang, Tao Du, Ben Niu, Chenyang Li, Jianqiang Qian, Lei Guo
2018 J jnl
IEEE Access
Chang-E Ren, Zhiping Shi, Tao Du
2018 J jnl
IEEE Access
Chang-E Ren, Tao Du, Guilu Li, Zhiping Shi
2018 J jnl
WIREs Data Mining Knowl. Discov.
Danyang Li, Yan Ren, Tao Du, Wanquan Liu
2016 J jnl
IEEE Trans. Fuzzy Syst.
C. L. Philip Chen, Chang-E Ren, Tao Du
2016 J jnl
Neurocomputing
Chang-E Ren, Long Chen, C. L. Philip Chen, Tao Du
2016 J jnl
J. Frankl. Inst.
Tao Du, Lei Guo

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.