Lan Zhang - RankMe

28 papers A* 1B 2Misc 1Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Pixels to Prompts: A Systematic Study and Introduction to Image Prompt Injection Attacks. Computer Neha Nagaraja, Lan Zhang, Zhilong Wang
2026	J	`jnl`	Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions. CoRR Neha Nagaraja, Lan Zhang, Zhilong Wang, Bo Zhang, Pawan Patil
2026	—	`conf`	Integrating Large Language Models with Cybersecurity Education. SIGCSE (2) Wei Yan, Soumiki Chattopadhyay, Lan Zhang, Ashish Amresh
2025	J	`jnl`	A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption. IEEE Access Linh Nguyen, Quoc Bao Phan, Lan Zhang, Tuy Tan Nguyen
2025	J	`jnl`	Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair. Computer Lan Zhang, Anoop Singhal, Qingtian Zou, Xiaoyan Sun, Peng Liu, Hsiao-Ying Lin
2025	J	`jnl`	Comparing Different Membership Inference Attacks With a Comprehensive Benchmark. IEEE Trans. Inf. Forensics Secur. Jun Niu, Xiaoyan Zhu, Moxuan Zeng, Ge Zhang, Qingyang Zhao, Chunhui Huang, Yangming Zhang, Suyu An, Yangzhong Wang, Xinghui Yue, Zhipeng He, Weihao Guo, Kuo Shen, Peng Liu, Lan Zhang, Jianfeng Ma, Yuqing Zhang
2025	B	`conf`	Deep Learning Assisted Reverse Engineering: Recognizing Encryption Loops in Ransomware. TrustCom Nanqing Luo, Haizhou Wang, Zhilong Wang, Lan Zhang, Ping Chen, Peng Liu
2025	—	`conf`	Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models. IWSPA@CODASPY Yining Luo, Baobao Li, Anoop Singhal, Peiyu Tseng, Lan Zhang, Qingtian Zou, Xiaoyan Sun, Peng Liu
2025	B	`conf`	FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting. TrustCom Zhiyuan Fu, Junfan Chen, Lan Zhang, Ting Yang, Jun Niu, Hongyu Sun, Ruidong Li, Peng Liu, Jice Wang, Fannv He, Yuqing Zhang
2025	—	`conf`	Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions. FLLM Neha Nagaraja, Lan Zhang, Zhilong Wang, Bo Zhang, Pawan Patil
2025	—	`conf`	To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt. DSN-S Zhilong Wang, Neha Nagaraja, Lan Zhang, Hayretdin Bahsi, Pawan Patil, Peng Liu
2025	J	`jnl`	To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt. CoRR Zhilong Wang, Neha Nagaraja, Lan Zhang, Hayretdin Bahsi, Pawan Patil, Peng Liu
2024	J	`jnl`	Analysis of neural network detectors for network attacks. J. Comput. Secur. Qingtian Zou, Lan Zhang, Anoop Singhal, Xiaoyan Sun, Peng Liu
2024	—	`conf`	Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code. IWSPA@CODASPY Lan Zhang, Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu
2024	—	`conf`	Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness. EMBC Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Dinh C. Nguyen, Lan Zhang, Tuy Tan Nguyen
2024	J	`jnl`	Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles. CoRR Zhilong Wang, Haizhou Wang, Nanqing Luo, Lan Zhang, Xiaoyan Sun, Yebo Cao, Peng Liu
2024	J	`jnl`	Using Explainable AI for Neural Network-Based Network Attack Detection. Computer Qingtian Zou, Lan Zhang, Xiaoyan Sun, Anoop Singhal, Peng Liu
2023	J	`jnl`	ChatGPT for Software Security: Exploring the Strengths and Limitations of ChatGPT in the Security Applications. CoRR Zhilong Wang, Lan Zhang, Peng Liu
2023	J	`jnl`	Semantics-Preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. IEEE Trans. Dependable Secur. Comput. Lan Zhang, Peng Liu, Yoon-Ho Choi, Ping Chen
2023	J	`jnl`	Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning. CoRR Lan Zhang, Chen Cao, Zhilong Wang, Peng Liu
2022	Misc	`conf`	Attacks on ML Systems: From Security Analysis to Attack Mitigation. ICISS Qingtian Zou, Lan Zhang, Anoop Singhal, Xiaoyan Sun, Peng Liu
2022	A*	`conf`	What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation. CCS Wei Zhou, Lan Zhang, Le Guan, Peng Liu, Yuqing Zhang
2022	J	`jnl`	What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation. CoRR Wei Zhou, Lan Zhang, Le Guan, Peng Liu, Yuqing Zhang
2021	J	`jnl`	Reviewing IoT Security via Logic Bugs in IoT Platforms and Systems. IEEE Internet Things J. Wei Zhou, Chen Cao, Dongdong Huo, Kai Cheng, Lan Zhang, Le Guan, Tao Liu, Yan Jia, Yaowen Zheng, Yuqing Zhang, Limin Sun, Yazhe Wang, Peng Liu
2020	J	`jnl`	Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. CoRR Lan Zhang, Peng Liu, Yoon-Ho Choi
2020	J	`jnl`	Using deep learning to solve computer security challenges: a survey. Cybersecur. Yoon-Ho Choi, Peng Liu, Zitong Shang, Haizhou Wang, Zhilong Wang, Lan Zhang, Junwei Zhou, Qingtian Zou
2019	J	`jnl`	Logic Bugs in IoT Platforms and Systems: A Review. CoRR Wei Zhou, Chen Cao, Dongdong Huo, Kai Cheng, Lan Zhang, Le Guan, Tao Liu, Yaowen Zheng, Yuqing Zhang, Limin Sun, Yazhe Wang, Peng Liu
2019	J	`jnl`	Using Deep Learning to Solve Computer Security Challenges: A Survey. CoRR Yoon-Ho Choi, Peng Liu, Zitong Shang, Haizhou Wang, Zhilong Wang, Lan Zhang, Junwei Zhou, Qingtian Zou

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.