Fangfang Zhang

33 papers B 1C 1Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Eng. Appl. Artif. Intell.
Kai Sun, Dongzhe Yang, Dasong Wang, Fangfang Zhang
2026 J jnl
IEEE Access
Mengqi Liu, Wenhao Xie, Jianbo Gao, Qiwu Wang, Wei Wang, Guofeng Dong, Tong Ni, Fangfang Zhang, Yu Li
2025 J jnl
Int. J. Bio Inspired Comput.
Lei Kou, Yukuan Wang, Fangfang Zhang, Quande Yuan, Zhen Wang, Jingya Wen, Wende Ke
2025 J jnl
IEEE Trans. Ind. Informatics
Fengying Ma, Chenlong Wang, Baolong Zhu, Jinyi Ge, Fangfang Zhang, Jiahao Sun
2025 J jnl
IEEE Trans. Reliab.
Fangfang Zhang, Yebin Li, Dongri Shan, Yuanhong Liu, Fengying Ma, Weiyong Yu
2024 — conf
APSIPA
Michaël Antonie van Wyk, André Martin McDonald, David M. Rubin, Fangfang Zhang
2024 J jnl
Int. J. Comput. Sci. Math.
Zhen Wang, Yukuan Wang, Fangyi Zong, Xiangdong Yan, Wende Ke, Lei Kou, Zhen Yu, Junhe Wan, Fangfang Zhang, Guohua Sun, Zhiqiang Hu
2024 J jnl
Sensors
Zhen Wang, Youwei Ying, Lei Kou, Wende Ke, Junhe Wan, Zhen Yu, Hailin Liu, Fangfang Zhang
2023 J jnl
IEEE Multim.
Zhe Huang, Fangfang Zhang, Lei Kou, Quande Yuan, Yuanhong Liu
2023 J jnl
Int. J. Bio Inspired Comput.
Lei Kou, Fangfang Zhang, Luobing Chen, Wende Ke, Quande Yuan, Junhe Wan, Zhen Wang
2023 B conf
PPoPP
Fei Dai, Yawen Chen, Zhiyi Huang, Haibo Zhang, Fangfang Zhang
2023 J jnl
CoRR
Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan
2023 J jnl
Int. J. Bio Inspired Comput.
Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan
2023 J jnl
Int. J. Wirel. Mob. Comput.
Zejun Wang, Fangfang Zhang, Fengying Ma, Peng Ji, Lei Kou, Michaël Antonie van Wyk, Maoyong Cao
2022 J jnl
CoRR
Lei Kou, Zhe Huang, Cuimei Jiang, Fangfang Zhang, Wende Ke, Junhe Wan, Hailin Liu, Hui Li
2022 J jnl
CoRR
Fangfang Zhang, Zhe Huang, Lei Kou, Yang Li, Maoyong Cao, Fengying Ma
2022 J jnl
CoRR
Quande Yuan, Yuzhen Pi, Lei Kou, Fangfang Zhang, Bo Ye
2022 C conf
CSCWD
Wei Shen, Lei Kou, Xiaodong Gong, Jie Zhao, Fangfang Zhang, Junhe Wan, Xiangchao Feng, Quande Yuan, Guojie Feng, Benfa Zhang, Jian Zhang
2022 J jnl
CoRR
Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke
2022 J jnl
Sensors
Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke
2022 J jnl
CoRR
Fei Dai, Yawen Chen, Zhiyi Huang, Haibo Zhang, Fangfang Zhang
2021 J jnl
IEEE Multim.
Fangfang Zhang, Xue Zhang, Maoyong Cao, Fengying Ma, Zhengfeng Li
2021 J jnl
Sensors
Quande Yuan, Zhenming Zhang, Yuzhen Pi, Lei Kou, Fangfang Zhang
2020 J jnl
IEEE Access
Xiu Zhao, Jian Liu, Hongjun Liu, Fangfang Zhang
2020 J jnl
Entropy
Jiaxun Liu, Zuoxun Wang, Fangfang Zhang, Yankai Yin, Feng-Ying Ma
2020 J jnl
Entropy
Fangfang Zhang, Sen Leng, Zhengfeng Li, Cuimei Jiang
2020 J jnl
Entropy
Junmei Guo, Chunrui Ma, Zuoxun Wang, Fangfang Zhang
2019 J jnl
IEEE Access
Fangfang Zhang, Jiaxun Liu, Zuoxun Wang, Cuimei Jiang
2019 J jnl
Complex.
Jiaxun Liu, Zuoxun Wang, Minglei Shu, Fangfang Zhang, Sen Leng, Xiaohui Sun
2019 J jnl
J. Frankl. Inst.
Baojiang Sun, Min Li, Fangfang Zhang, Hui Wang, Jian Liu
2018 — conf
AIM
Fangfang Zhang, Kai Sun, Yawen Chen, Haibo Zhang
2018 J jnl
Int. J. Autom. Comput.
Cuimei Jiang, Shutang Liu, Fangfang Zhang
2018 — conf
CSCloud/EdgeCom
Yawen Chen, Haibo Zhang, Fangfang Zhang

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.