Lan Zhang

According to our database, Lan Zhang authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair.

Lan Zhang, Anoop Singhal, Qingtian Zou, Xiaoyan Sun, Peng Liu, Hsiao-Ying Lin

Computer, July, 2025

Comparing Different Membership Inference Attacks With a Comprehensive Benchmark.

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

IEEE Trans. Inf. Forensics Secur., 2025

A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption.

Linh Nguyen, Quoc Bao Phan, Lan Zhang, Tuy Tan Nguyen

IEEE Access, 2025

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt.

Zhilong Wang, Neha Nagaraja, Lan Zhang, Hayretdin Bahsi, Pawan Patil, Peng Liu

Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

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, Qingtian Zou, Xiaoyan Sun, Peng Liu

Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2025

2024

Using Explainable AI for Neural Network-Based Network Attack Detection.

Qingtian Zou, Lan Zhang, Xiaoyan Sun, Anoop Singhal, Peng Liu

Computer, May, 2024

Analysis of neural network detectors for network attacks.

Qingtian Zou, Lan Zhang, Anoop Singhal, Xiaoyan Sun, Peng Liu

J. Comput. Secur., 2024

Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles.

Zhilong Wang, Haizhou Wang, Nanqing Luo, Lan Zhang, Xiaoyan Sun, Yebo Cao, Peng Liu

CoRR, 2024

Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness.

Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Dinh C. Nguyen, Lan Zhang, Tuy Tan Nguyen

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code.

Lan Zhang, Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu

Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024

2023

Semantics-Preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection.

Lan Zhang, Peng Liu, Yoon-Ho Choi, Ping Chen

IEEE Trans. Dependable Secur. Comput., 2023

2022

Attacks on ML Systems: From Security Analysis to Attack Mitigation.

Qingtian Zou, Lan Zhang, Anoop Singhal, Xiaoyan Sun, Peng Liu

Proceedings of the Information Systems Security - 18th International Conference, 2022

What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation.

Wei Zhou, Lan Zhang, Le Guan, Peng Liu, Yuqing Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Reviewing IoT Security via Logic Bugs in IoT Platforms and Systems.

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

IEEE Internet Things J., 2021

2020

Using deep learning to solve computer security challenges: a survey.

Yoon-Ho Choi, Peng Liu, Zitong Shang, Haizhou Wang, Zhilong Wang, Lan Zhang, Junwei Zhou, Qingtian Zou

Cybersecur., 2020

Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection.

Lan Zhang, Peng Liu, Yoon-Ho Choi

CoRR, 2020

2019

Logic Bugs in IoT Platforms and Systems: A Review.

Wei Zhou, Chen Cao, Dongdong Huo, Kai Cheng, Lan Zhang, Le Guan, Tao Liu, Yaowen Zheng, Yuqing Zhang, Limin Sun, Yazhe Wang, Peng Liu

CoRR, 2019