Zhangkai Luo

27 papers Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Yingjie Wang, Zhongmin Pei, Zhangkai Luo
2023 J jnl
IEEE Trans. Cybern.
Yinan Li, Ruili Wang, Yuqiang Fang, Meng Sun, Zhangkai Luo
2023 — conf
CNML
Zhongmin Pei, Boren Hu, Zhangkai Luo, Jie Ding
2022 J jnl
IEICE Trans. Commun.
Xueyan Zhang, Libin Qu, Zhangkai Luo
2022 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Wanghan Lv, Lihong Hu, Weijun Zeng, Huali Wang, Zhangkai Luo
2022 J jnl
Signal Process.
Zhangkai Luo, Zhongmin Pei
2021 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Lin Yan, Mingyong Zeng, Shuai Ren, Zhangkai Luo
2021 J jnl
IEICE Trans. Inf. Syst.
Lin Yan, Mingyong Zeng, Shuai Ren, Zhangkai Luo
2021 J jnl
IEEE Access
Jie Zhang, Zhongmin Pei, Zhangkai Luo
2020 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kaijie Zhou, Huali Wang, Peipei Cao, Zhangkai Luo
2019 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Wang, Lei Hu, Ning Li, Chang Tian, Zhaofeng Zhang, Mingyong Zeng, Zhangkai Luo, Huaping Guan
2019 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Xiaomin Li, Huali Wang, Zhangkai Luo
2019 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhangkai Luo, Zhongmin Pei, Bo Zou
2019 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Rugang Wang, Feng Zhou, Xiaofang Yang, Zhangkai Luo
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kaijie Zhou, Huali Wang, Huan Hao, Zhangkai Luo
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhangkai Luo, Huali Wang, Kaijie Zhou
2018 J jnl
IEICE Trans. Commun.
Zhangkai Luo, Huali Wang, Huan Hao
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kaijie Zhou, Huali Wang, Peipei Cao, Zhangkai Luo
2018 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhangkai Luo, Huali Wang
2018 J jnl
IEICE Trans. Inf. Syst.
Ying Tian, Mingyong Zeng, Aihong Lu, Bin Gao, Zhangkai Luo
2018 J jnl
IEICE Trans. Inf. Syst.
Liaoruo Huang, Qingguo Shen, Zhangkai Luo
2017 J jnl
IEEE Access
Zhangkai Luo, Huali Wang, Kaijie Zhou, Wanghan Lv
2017 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shengchao Shi, Guangxia Li, Zhiqiang Li, Bin Gao, Zhangkai Luo
2017 J jnl
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhangkai Luo, Huali Wang, Wanghan Lv, Hui Tian
2017 J jnl
KSII Trans. Internet Inf. Syst.
Zhangkai Luo, Huali Wang, Kaijie Zhou
2017 J jnl
IEEE Access
Zhangkai Luo, Huali Wang, Kaijie Zhou
2016 — conf
WCSP
Zhangkai Luo, Huali Wang, Wanghan Lv

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.