Logic Bugs in IoT Platforms and Systems: A Review. - Wei Zhou 026; Chen Cao 004; Dongdong Huo; Kai Cheng; Lan Zhang 008; Le Guan; Tao Liu; Yaowen Zheng; Yuqing Zhang 001; Limin Sun 001; Yazhe Wang; Peng Liu 005 (CoRR, 2019)

Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. - Lan Zhang 008; Peng Liu 005; Yoon-Ho Choi (CoRR, 2020)

Using deep learning to solve computer security challenges: a survey. - Yoon-Ho Choi; Peng Liu 005; Zitong Shang; Haizhou Wang; Zhilong Wang; Lan Zhang 008; Junwei Zhou 002; Qingtian Zou (Cybersecur., 2020)

Reviewing IoT Security via Logic Bugs in IoT Platforms and Systems. - Wei Zhou 026; Chen Cao 004; Dongdong Huo; Kai Cheng; Lan Zhang 008; Le Guan; Tao Liu; Yan Jia; Yaowen Zheng; Yuqing Zhang 001; Limin Sun 001; Yazhe Wang; et al. (IEEE Internet Things J., 2021)

What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation. - Wei Zhou 026; Lan Zhang 008; Le Guan; Peng Liu 005; Yuqing Zhang 001 (CCS, 2022)

Attacks on ML Systems: From Security Analysis to Attack Mitigation. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (ICISS, 2022)

Semantics-Preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. - Lan Zhang 008; Peng Liu 005; Yoon-Ho Choi; Ping Chen 003 (IEEE Trans. Dependable Secur. Comput., 2023)

Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code. - Lan Zhang 008; Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2024)

Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness. - Quoc Bao Phan; Linh Nguyen; Ngoc Thang Bui; Dinh C. Nguyen; Lan Zhang 008; Tuy Tan Nguyen (EMBC, 2024)

Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles. - Zhilong Wang; Haizhou Wang; Nanqing Luo; Lan Zhang 008; Xiaoyan Sun 003; Yebo Cao; Peng Liu 005 (CoRR, 2024)

Analysis of neural network detectors for network attacks. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (J. Comput. Secur., 2024)

Using Explainable AI for Neural Network-Based Network Attack Detection. - Qingtian Zou; Lan Zhang 008; Xiaoyan Sun 003; Anoop Singhal; Peng Liu 005 (Computer, 2024)

Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models. - Yining Luo; Baobao Li; Anoop Singhal; Peiyu Tseng; Lan Zhang 008; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt. - Zhilong Wang; Neha Nagaraja; Lan Zhang 008; Hayretdin Bahsi; Pawan Patil; Peng Liu 005 (DSN-S, 2025)

A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption. - Linh Nguyen; Quoc Bao Phan; Lan Zhang 008; Tuy Tan Nguyen (IEEE Access, 2025)

Comparing Different Membership Inference Attacks With a Comprehensive Benchmark. - Jun Niu; Xiaoyan Zhu 005; Moxuan Zeng; Ge Zhang; Qingyang Zhao; Chunhui Huang; Yangming Zhang; Suyu An; Yangzhong Wang; Xinghui Yue; Zhipeng He 006; Weihao Guo; et al. (IEEE Trans. Inf. Forensics Secur., 2025)

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair. - Lan Zhang 008; Anoop Singhal; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005; Hsiao-Ying Lin (Computer, 2025)