Fanghui Sun

12 papers A* 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Diffusion-based Augmentation for Recommendation. AAAI Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu, Ying Ma
2026	J	`jnl`	Adaptive Diffusion-based Augmentation for Recommendation. CoRR Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu, Ying Ma
2026	J	`jnl`	DECodeT5: A Lightweight and Efficient Neural Decompiler With Assembly Semantic Assistance. IEEE Internet Things J. Li Liu, Fanghui Sun, Shen Wang, Xunzhi Jiang
2025	J	`jnl`	Adversarial purification using random encoding networks. Appl. Soft Comput. Yuxin Gong, Shen Wang, Xunzhi Jiang, Tingyue Yu, Fanghui Sun
2025	J	`jnl`	Max-Game: A game-theoretic approach to parameter selection for non-iterative adversarial image steganography. Displays Junfeng Zhao, Shen Wang, Fanghui Sun
2024	J	`jnl`	Improving adversarial robustness using knowledge distillation guided by attention information bottleneck. Inf. Sci. Yuxin Gong, Shen Wang, Tingyue Yu, Xunzhi Jiang, Fanghui Sun
2024	J	`jnl`	Personalized Federated Learning With Multiview Geometry Structure. IEEE Internet Things J. Yihan Yan, Shen Wang, Fanghui Sun, Xiaojun Tong
2024	J	`jnl`	Spatio-temporal fusion graph convolutional network for traffic flow forecasting. Inf. Fusion Ying Ma, Haijie Lou, Ming Yan, Fanghui Sun, Guoqi Li
2023	J	`jnl`	Adversarial example detection using semantic graph matching. Appl. Soft Comput. Yuxin Gong, Shen Wang, Xunzhi Jiang, Liyao Yin, Fanghui Sun
2022	J	`jnl`	A progressive learning method on unknown protocol behaviors. J. Netw. Comput. Appl. Fanghui Sun, Shen Wang, Hongli Zhang
2020	J	`jnl`	Clustering of unknown protocol messages based on format comparison. Comput. Networks Fanghui Sun, Shen Wang, Chunrui Zhang, Hongli Zhang
2019	J	`jnl`	Unsupervised field segmentation of unknown protocol messages. Comput. Commun. Fanghui Sun, Shen Wang, Chunrui Zhang, Hongli 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.