Yang Du

13 papers C 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Neural Networks
Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang
2024 J jnl
IEEE Trans. Ind. Electron.
Zhenyan Cao, Huiqing Wen, Qinglei Bu, Haochen Shi, Peichao Xu, Yong Yang, Yang Du
2023 J jnl
Adv. Eng. Informatics
Fan Yang, Ke Yan, Ning Jin, Yang Du
2022 — conf
ISGT Asia
Guoping Ruan, Xiaoyang Chen, Yang Du, Eng Gee Lim, Lurui Fang, Ke Yan
2021 C conf
IECON
Qiyang Lei, Xiaozhou Liu, Weidong Xiao, Yang Du
2021 J jnl
IEEE Trans. Ind. Informatics
Haoran Wen, Yang Du, Xiaoyang Chen, Enggee Lim, Huiqing Wen, Lin Jiang, Wei Xiang
2021 J jnl
Wirel. Commun. Mob. Comput.
Hangxia Zhou, Qian Liu, Ke Yan, Yang Du
2020 J jnl
IEEE Trans. Ind. Electron.
Qinglei Bu, Huiqing Wen, Jiacheng Wen, Yihua Hu, Yang Du
2019 J jnl
IEEE Access
Ke Yan, Wei Li, Zhiwei Ji, Meng Qi, Yang Du
2019 J jnl
IEEE Trans. Ind. Electron.
Xiaoyang Chen, Yang Du, Huiqing Wen, Lin Jiang, Weidong Xiao
2019 J jnl
IEEE Access
Hangxia Zhou, Yujin Zhang, Lingfan Yang, Qian Liu, Ke Yan, Yang Du
2017 C conf
FIE
Shaofeng Lu, Ying Cheng, Xiaoyang Wang, Yang Du, Eng Gee Lim
2017 C conf
IECON
Xiaoyang Chen, Yang Du, Weidong Xiao, Shaofeng Lu

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.