Zhen-Guo Liu

31 papers Misc 1Journal 29Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Zhen-Guo Liu, Zi-Wen Jiang, Wei Sun, Shun-Feng Su
2024 J jnl
J. Frankl. Inst.
Han-Wen Zhang, Zhen-Guo Liu, Weihai Zhang
2024 J jnl
IEEE Trans. Cybern.
Zhen-Guo Liu, Yu-Yuan Shi, Wei Sun, Shun-Feng Su
2024 J jnl
IEICE Electron. Express
Yixin Tong, Wenquan Cao, Zhen-Guo Liu, Chuang Wang
2024 — conf
ICECET
Mingyang Geng, Hao Chen, Jun-Lin Zhan, Lu Ju, Zhen-Guo Liu, Wei-Bing Lu
2024 J jnl
Comput. Biol. Chem.
Guobo Xie, Jun-Rui Yu, Zhiyi Lin, Guosheng Gu, Rui-Bin Chen, Haojie Xu, Zhen-Guo Liu
2024 J jnl
J. Frankl. Inst.
Zhen-Guo Liu, Yu-Xin Zhang, Zongyao Sun, Jiang-Tao Feng
2024 J jnl
Sci. China Inf. Sci.
Zhao-Min Chen, Jun-Lin Zhan, Hao Chen, Ya Li, Hongjun He, Wu Yang, Zhen-Guo Liu, Wei-Bing Lu
2023 J jnl
Complex.
Lingrong Xue, Zhen-Guo Liu
2023 J jnl
Complex.
Lingrong Xue, Zhen-Guo Liu
2023 J jnl
IEEE Trans. Instrum. Meas.
Zhi-Peng Chen, Zhen-Guo Liu, Shang Zhang, Meng-Zi Li, Wei Bing Lu
2023 J jnl
Briefings Bioinform.
Guobo Xie, Rui-Bin Chen, Zhiyi Lin, Guosheng Gu, Jun-Rui Yu, Zhen-Guo Liu, Ji Cui, Lieqing Lin, Lang-Cheng Chen
2022 J jnl
Autom.
Zhen-Guo Liu, Lingrong Xue, Zong-Yao Sun
2022 J jnl
Int. J. Fuzzy Syst.
Zhen-Guo Liu, Ya-Zhu Zhao, Wei Sun, Lingrong Xue
2022 J jnl
J. Frankl. Inst.
Zhen-Guo Liu, Hongli Dong, Weixing Chen, Weidong Zhang
2021 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Wei Sun, Shun-Feng Su, Zhen-Guo Liu, Zong-Yao Sun
2021 J jnl
Int. J. Fuzzy Syst.
Zhen-Guo Liu, Yu-Yuan Shi, Lin-Xian Liu
2021 J jnl
Sci. China Inf. Sci.
Yu Shao, Zong-Yao Sun, Xue-Jun Xie, Zhen-Guo Liu
2021 J jnl
Autom.
Zhen-Guo Liu, Ling-Rong Xue, Weihai Zhang
2020 J jnl
Int. J. Syst. Sci.
Zhen-Guo Liu, Bing-Huan Li, Ting Jiao, Ling-Rong Xue
2020 J jnl
Int. J. Control
Weihai Zhang, Ling-Rong Xue, Zhen-Guo Liu, Zong-Yao Sun
2020 J jnl
Trans. Inst. Meas. Control
Zong-Yao Sun, Yu-Jie Gu, Qinghua Meng, Wei Sun, Zhen-Guo Liu
2019 J jnl
IEEE Access
Hui Chen, Zhen-Guo Liu, Wei Bing Lu, An Qi Zhang, Hao Chen
2019 J jnl
Int. J. Fuzzy Syst.
Wen-Xing Yuan, Wei Sun, Zhen-Guo Liu, Feng-Xia Zhang
2018 J jnl
Autom.
Zhen-Guo Liu, Yuqiang Wu
2017 J jnl
IEEE Access
Zhen-Guo Liu, Wei Bing Lu
2017 J jnl
J. Frankl. Inst.
Zhen-Guo Liu, Yuqiang Wu, Zong-Yao Sun
2015 J jnl
Int. J. Autom. Comput.
Zhen-Guo Liu, Jin-ming Huang
2014 J jnl
Int. J. Control
Zhen-Guo Liu, Yuqiang Wu
2013 Misc conf
ICMLC
Juan Gao, Chun-Fang Li, Zhen-Guo Liu, Lian-Zhong Liu
2013 J jnl
Int. J. Control
Zong-Yao Sun, Xue-Jun Xie, Zhen-Guo Liu

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.