Feihong Yu

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Int. J. Web Inf. Syst.
Yang Xu, Longhua Xie, Hongchuan Huang, Feihong Yu, Tingyu Zhao
2025 J jnl
IEEE Access
Feihong Yu, Jinshan Zhang, Dingdiao Mu
2023 J jnl
Sensors
Yuhui Liu, Weihao Lin, Jie Hu, Fang Zhao, Feihong Yu, Shuaiqi Liu, Jinna Chen, Huanhuan Liu, Perry Ping Shum, Xuming Zhang
2023 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Yukun Hao, Feihong Yu
2022 J jnl
Sensors
Feihong Yu, Liyang Shao, Shuaiqi Liu, Weijie Xu, Dongrui Xiao, Huanhuan Liu, Perry Ping Shum
2022 J jnl
Sensors
Weijie Xu, Feihong Yu, Shuaiqi Liu, Dongrui Xiao, Jie Hu, Fang Zhao, Weihao Lin, Guoqing Wang, Xingliang Shen, Weizhi Wang, Feng Wang, Huanhuan Liu, Perry Ping Shum, Li-Yang Shao
2022 J jnl
Sensors
Fang Zhao, Weihao Lin, Jie Hu, Shuaiqi Liu, Feihong Yu, Xingwei Chen, Guoqing Wang, Perry Ping Shum, Liyang Shao
2021 J jnl
Sensors
Weihao Lin, Shengjie Zhou, Li-Yang Shao, Mang I Vai, Perry Ping Shum, Weijie Xu, Fang Zhao, Feihong Yu, Yibin Liu, Yuhui Liu, Shuaiqi Liu
2021 J jnl
IEEE Access
Ni Jiang, Feihong Yu
2021 J jnl
IEEE Access
Tingna Kuang, Feihong Yu, Xuxiang Ni
2018 — conf
Biomedical Applications in Molecular, Structural, and Functional Imaging
Bolan Yang, Dehui Xiang, Feihong Yu, Xinjian Chen
2016 — conf
ISCID (1)
Huajie Liu, Feihong Yu

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.