Zenghui Yuan - RankMe

18 papers A* 3Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Image Is Worth Ten Thousand Words: Verbose-Text Induction Attacks on VLMs. CoRR Zhi Luo, Zenghui Yuan, Wenqi Wei, Daizong Liu, Pan Zhou
2025	A*	`conf`	BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. CVPR Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	J	`jnl`	BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. CoRR Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	J	`jnl`	Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs. CoRR Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
2025	—	`conf`	Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models. ACL (1) Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
2025	J	`jnl`	Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models. CoRR Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
2025	J	`jnl`	Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation. CoRR Yinuo Liu, Zenghui Yuan, Guiyao Tie, Jiawen Shi, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2025	J	`jnl`	Prompt Injection Attack to Tool Selection in LLM Agents. CoRR Jiawen Shi, Zenghui Yuan, Guiyao Tie, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2024	J	`jnl`	AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. CoRR Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou
2024	A*	`conf`	Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CCS Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024	J	`jnl`	Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CoRR Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024	J	`jnl`	The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective. CoRR Cheng Wang, Zenghui Yuan, Pan Zhou, Zichuan Xu, Ruixuan Li, Dapeng Oliver Wu
2023	J	`jnl`	Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun
2023	J	`jnl`	The Security and Privacy of Mobile-Edge Computing: An Artificial Intelligence Perspective. IEEE Internet Things J. Cheng Wang, Zenghui Yuan, Pan Zhou, Zichuan Xu, Ruixuan Li, Dapeng Oliver Wu
2023	A*	`conf`	You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks? CVPR Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng
2021	J	`jnl`	Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Netw. Sci. Eng. Jing Wu, Juzhen Wang, Qimei Chen, Zenghui Yuan, Pan Zhou, Xiumin Wang, Cai Fu
2017	J	`jnl`	Reliability analysis of multi-state systems subject to failure mechanism dependence based on a combination method. Reliab. Eng. Syst. Saf. Ying Yi Li, Ying Chen, Zenghui Yuan, Ning Tang, Rui Kang
2015	—	`conf`	A simulation-based method for EMR assessment of aviation electronic products. IEEM Zenghui Yuan, Ying Chen, Lei Gao

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.

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.