Qizhe Yang

15 papers A* 1C 1Misc 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Networks
Xiao Lin, Zeyu Rong, Yan Li, Qizhe Yang, Ping Li, Wei Huang
2026 J jnl
Formal Aspects Comput.
Qizhe Yang, Boxuan Liang, Hao Chen, Guoqiang Li
2026 J jnl
IEEE Trans Autom. Sci. Eng.
Guangrong Chen, Qizhe Yang, Jiehao Li, C. L. Philip Chen, Chenguang Yang
2026 J jnl
Pattern Recognit.
Xiao Lin, Yilin Chen, Wei Huang, Qizhe Yang, Jingyu Gong
2026 J jnl
Pattern Recognit.
Xiao Lin, Dongchen Zhang, Yan Li, Qizhe Yang, Ping Li, Wei Huang
2026 J jnl
Pattern Recognit.
Xiao Lin, Yilin Chen, Duojiu Xu, Qizhe Yang, Yan Li, Wei Huang, Ping Li
2025 J jnl
Formal Aspects Comput.
Guoqiang Li, Qizhe Yang, Jinhao Tan, Ying Zhao
2025 J jnl
CoRR
Yuxi Fu, Yangluo Zheng, Qizhe Yang
2024 J jnl
Inf. Process. Lett.
Hao Wu, Qizhe Yang, Huan Long
2024 J jnl
CoRR
Yuxi Fu, Qizhe Yang, Yangluo Zheng
2024 A* conf
ICALP
Yuxi Fu, Qizhe Yang, Yangluo Zheng
2023 J jnl
CoRR
Qizhe Yang, Yuxi Fu
2022 J jnl
Theor. Comput. Sci.
Qizhe Yang, Yuxi Fu
2022 C conf
ICFEM
Hongmeng Wang, Huan Long, Hao Wu, Qizhe Yang
2021 Misc conf
TASE
Qunhao Sha, Qizhe Yang, Guoqiang Li

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.