Ganggui Ding

11 papers A* 3B 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation. CoRR Ganggui Ding, Hao Chen, Xiaogang Xu
2026	J	`jnl`	FreerCustom: Training-Free Multi-Concept Customization for Image and Video Generation. Int. J. Comput. Vis. Canyu Zhao, Ganggui Ding, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen
2025	—	`conf`	Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios. ICCVW Chenglu Pan, Xiaogang Xu, Ganggui Ding, Yunke Zhang, Wenbo Li, Jiarong Xu, Qingbiao Wu
2025	J	`jnl`	Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios. CoRR Chenglu Pan, Xiaogang Xu, Ganggui Ding, Yunke Zhang, Wenbo Li, Jiarong Xu, Qingbiao Wu
2025	A*	`conf`	Channel Merging: Preserving Specialization for Merged Experts. AAAI Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang
2025	J	`jnl`	Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention. CoRR Zhen Yang, Mingyang Zhang, Feng Chen, Ganggui Ding, Liang Hou, Xin Tao, Pengfei Wan, Ying-Cong Chen
2024	J	`jnl`	Channel Merging: Preserving Specialization for Merged Experts. CoRR Mingyang Zhang, Jing Liu, Ganggui Ding, Xinyi Yu, Linlin Ou, Bohan Zhuang
2024	A*	`conf`	FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition. CVPR Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen
2024	J	`jnl`	FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition. CoRR Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen
2024	A*	`conf`	Object-Aware Inversion and Reassembly for Image Editing. ICLR Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
2024	B	`conf`	Unveiling Universal Forensics of Diffusion Models with Adversarial Perturbations. IJCNN Kangyang Xie, Jiaan Liu, Muzhi Zhu, Ganggui Ding, Zide Liu, Hao Chen, Hangyue Chen

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.