Fanglin Gu

37 papers A* 1C 1Journal 24Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
IEEE Internet Things J.
Songyi Liu, Yuhua Xu, Guoxin Li, Yifan Xu, Xiaokai Zhang, Fanglin Gu, Wenfeng Ma, Taoyi Chen
2024 J jnl
IEEE Internet Things J.
Hongcheng Yuan, Jin Chen, Wen Li, Guoxin Li, Hao Han, Taoyi Chen, Fanglin Gu, Yuhua Xu
2021 J jnl
IEEE Wirel. Commun. Lett.
Hao Han, Ximing Wang, Fanglin Gu, Wen Li, Yuan Cai, Yifan Xu, Yuhua Xu
2021 J jnl
IEEE Trans. Green Commun. Netw.
Yifan Xu, Jin Chen, Yuhua Xu, Fanglin Gu, Kailing Yao, Luliang Jia, Dianxiong Liu, Ximing Wang
2020 — conf
WCSP
Zhuolin Chen, Fanglin Gu, Rui Jiang
2020 J jnl
IEEE Internet Things J.
Jiaxun Li, Haitao Zhao, Haijun Wang, Fanglin Gu, Jibo Wei, Hao Yin, Baoquan Ren
2019 J jnl
IEEE Access
Fanglin Gu, Yixin Fan, Ling Wang, Xiaobo Tan, Jibo Wei
2019 J jnl
IEEE Access
Min Yang, Fanglin Gu, Jun Liu, Ling Wang
2019 J jnl
IEEE Access
Xiaoran Liu, Xiaoying Zhang, Jun Xiong, Fanglin Gu, Jibo Wei
2019 — conf
ICC
Xiaochen Zhang, Jun Liu, Fanglin Gu, Dongtang Ma, Jibo Wei
2019 J jnl
IET Commun.
Dan Li, Fanglin Gu, Shan Wang, Jun Xiong
2019 J jnl
IEEE Commun. Lett.
Jun Xiong, Dongtang Ma, Haitao Zhao, Fanglin Gu
2018 A* conf
NeurIPS
Peng Jiang, Fanglin Gu, Yunhai Wang, Changhe Tu, Baoquan Chen
2018 J jnl
CoRR
Peng Jiang, Fanglin Gu, Changhe Tu, Baoquan Chen
2018 — conf
VTC Spring
Xiaoran Liu, Jian Wang, Fanglin Gu, Jun Xiong, Jibo Wei
2018 — conf
WCSP
Huan Bai, Fanglin Gu, Shan Wang, Jun Xiong
2018 J jnl
Frontiers Inf. Technol. Electron. Eng.
Fanglin Gu, Shan Wang, Wenwu Wang
2017 J jnl
IEEE Trans. Commun.
Kangli Zhang, Jian Wang, Jiaxin Yang, Benoît Champagne, Fanglin Gu, Jibo Wei
2017 J jnl
Circuits Syst. Signal Process.
Fanglin Gu, Hang Zhang, Wenwu Wang, Shan Wang
2017 J jnl
Frontiers Inf. Technol. Electron. Eng.
Kangli Zhang, Cong Zhang, Fanglin Gu, Jian Wang
2017 J jnl
CoRR
Zhenhua Wang, Fanglin Gu, Dani Lischinski, Daniel Cohen-Or, Changhe Tu, Baoquan Chen
2017 J jnl
Frontiers Inf. Technol. Electron. Eng.
Dan Li, Shan Wang, Fanglin Gu
2016 J jnl
Circuits Syst. Signal Process.
Fanglin Gu, Hang Zhang, Wenwu Wang, Chunlin Xiong
2016 J jnl
ACM Trans. Graph.
Haisen Zhao, Fanglin Gu, Qi-Xing Huang, Jorge A. Garcia Galicia, Yong Chen, Changhe Tu, Bedrich Benes, Hao Zhang, Daniel Cohen-Or, Baoquan Chen
2016 — conf
VTC Fall
Fanglin Gu, Shan Wang, Jibo Wei, Wenwu Wang
2015 J jnl
Circuits Syst. Signal Process.
Fanglin Gu, Hang Zhang, Shan Wang, Desheng Zhu
2014 — conf
WCSP
Fanglin Gu, Wei Li, Wenwu Wang
2014 J jnl
Circuits Syst. Signal Process.
Fanglin Gu, Hang Zhang, Wenwu Wang, Desheng Zhu
2013 — conf
TSP
Fanglin Gu, Hang Zhang, Jiang Zhang, Desheng Zhu, Pan Luo
2013 J jnl
IEEE Signal Process. Lett.
Fanglin Gu, Hang Zhang, Desheng Zhu
2013 J jnl
Digit. Signal Process.
Fanglin Gu, Hang Zhang, Desheng Zhu
2013 J jnl
EURASIP J. Adv. Signal Process.
Fanglin Gu, Hang Zhang, Wenwu Wang, Desheng Zhu
2013 — conf
WCSP
Fanglin Gu, Hang Zhang, Yi Xiao
2012 — conf
ISSPA
Fanglin Gu, Hang Zhang, Yi Xiao
2012 — conf
ISSPA
Qian Chen, Guyu Hu, Fanglin Gu, Peng Xiang
2011 C conf
UIC
Hang Zhang, Fanglin Gu, Yi Xiao
2010 — conf
WCSP
Fanglin Gu, Hang Zhang, Ning Li, Wei 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.