Lan Zhang

According to our database, Lan Zhang authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs.

Peiyu Tseng, Lan Zhang, ZihDwo Yeh, Xiaoyan Sun, Xushu Dai, Peng Liu

CoRR, April, 2026

From Pixels to Prompts: A Systematic Study and Introduction to Image Prompt Injection Attacks.

Neha Nagaraja, Lan Zhang, Zhilong Wang

Computer, April, 2026

Integrating Large Language Models with Cybersecurity Education.

Wei Yan, Soumiki Chattopadhyay, Lan Zhang, Ashish Amresh

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

BSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection.

Ting Yang, Yue Qin, Lan Zhang, Zhiyuan Fu, Junfan Chen, Jice Wang, Shangru Zhao, Qi Li, Ruidong Li, He Wang, Yuqing Zhang

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

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

Deep Learning Assisted Reverse Engineering: Recognizing Encryption Loops in Ransomware.

Nanqing Luo, Haizhou Wang, Zhilong Wang, Lan Zhang, Ping Chen, Peng Liu

Proceedings of the 24th IEEE International Conference on Trust, 2025

FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting.

Zhiyuan Fu, Junfan Chen, Lan Zhang, Ting Yang, Jun Niu, Hongyu Sun, Ruidong Li, Peng Liu, Jice Wang, Fannv He, Yuqing Zhang

Proceedings of the 24th IEEE International Conference on Trust, 2025

Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions.

Neha Nagaraja, Lan Zhang, Zhilong Wang, Bo Zhang, Pawan Patil

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 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

ChatGPT for Software Security: Exploring the Strengths and Limitations of ChatGPT in the Security Applications.

Zhilong Wang, Lan Zhang, Peng Liu

CoRR, 2023

Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning.

Lan Zhang, Chen Cao, Zhilong Wang, Peng Liu

CoRR, 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