Zewei Yang

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Junpeng Zhang, Zewei Yang, Jie Feng, Yuhui Zheng, Ronghua Shang, Mengxuan Zhang
2025 J jnl
IEEE Internet Things J.
You Jiang, Yudong Wang, Yuqiao Luo, Zewei Yang, Yinglong Liao, Yixuan Shen, Yuqun Lin, Hezhong Pan, Zoe Lin Jiang, Junbin Fang
2025 J jnl
CoRR
Zewei Yang, Zengqi Peng, Jun Ma
2025 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Luyang Yu, Zidong Wang, Yurong Liu, Zewei Yang
2024 J jnl
IEEE Access
Zewei Yang, Jingchang Nan, Jing Liu, Yifei Wang
2023 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin
2023 — conf
PRCV (3)
Junbin Fang, Zewei Yang, Siyuan Dai, You Jiang, Canjian Jiang, Zoe Lin Jiang, Chuanyi Liu, Siu-Ming Yiu
2023 — conf
PRCV (2)
Jiquan Bai, Zewei Yang, Yuchen Guan, Qian Yu
2022 — conf
AIPR
Xinfeng Shu, Zewei Yang
2022 J jnl
Int. J. Syst. Sci.
Zewei Yang, Yurong Liu, Wenbing Zhang, Fawaz E. Alsaadi, Khalid Hamed Alharbi
2022 J jnl
Neurocomputing
Zewei Yang, Luyang Yu, Yurong Liu, Naif D. Alotaibi, Fawaz E. Alsaadi
2021 J jnl
CoRR
Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin
2018 — conf
ICCCS (1)
Xiangwu Ding, Chao Yan, Yuan Zhao, Zewei Yang
2017 J jnl
ISPRS Int. J. Geo Inf.
Shuang Li, Zewei Yang, Hongsheng 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.