Wenhan Chang
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A first-year PhD student., |
About me
Wenhan Chang received his B.Eng. degree in 2022 and M.Eng. degree in 2025 from China University of Geosciences, Wuhan, China. He is currently pursuing a Ph.D. degree at School of Information Engineering, Zhongnan University of Economics and Law, China. His research interests include security and privacy preserving in deep learning.
Education
PhD, Modern Technology Management, Zhongnan University of Economics and Law, 09.2025-06.2029 Expected
Main Courses: Microeconomics, Econometrics, Business Intelligence.
M.S., Electronic Information, China University of Geosciences, 09.2022-06.2025
Main Courses: Machine Learning, Information Security, Matrix Analysis.
B.E., Computer Science and Technology, China University of Geosciences, 09.2018-06.2022
Main Courses: C++ Programming, Embedded Systems, Computer Network and Communication, Computer Control System.
Research
My research interests include:
LLM Safety Alignment
Privacy preserving
Current work
LLMs Safety and Security
Poisoning attack and defense
LLMs Fine-tuning security
Recent Publications
As First/Corresponding Author
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Chain-of-Lure: A Synthetic Narrative-Driven Approach to Compromise Large Language Models
W Chang, T Zhu*, Y Zhao, S Song, P Xiong, W Zhou, Y Li
arXiv preprint arXiv:2505.17519. 2025 -
From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models
J Liu, Z Xu, Y Fang, Y Chen, Z Ying, W Chang*
The 18th International Conference on Knowledge Science, Engineering and Management (KSEM 2025). 2025 -
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning
W Chang, T Zhu*, H Xu, W Liu, W Zhou
arXiv preprint arXiv:2405.15662. 2024 -
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation
W Chang, T Zhu, P Xiong*, Y Wu, F Guan, W Zhou
arXiv preprint arXiv:2410.23693. 2024 -
Gradient-based Defense Methods for Data Leakage in Vertical Federated Learning
W Chang, T Zhu*
Computers & Security, 139, 103744. 2024
As Co-author
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Generative Adversarial Networks Unlearning
H Sun, T Zhu*, W Chang, W Zhou
IEEE Transactions on Dependable and Secure Computing. 2025 -
Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks
F Guan, T Zhu*, W Chang, W Ren, W Zhou
IEEE Transactions on Dependable and Secure Computing. 2025 -
TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models
S Xiong, M Li, D Wang, Y Zhao, J Zhang, C Pan, H He, X Li, W Chang, et al.
Proceedings of the 19th International Workshop on Semantic Evaluation (ACL 2025 Workshop). 2025 -
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables
J Zhang, C Pan, K Wei, S Xiong, Y Zhao, X Li, J Peng, X Gu, J Yang, W Chang, et al.
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). 2025 -
TableReasoner: Advancing Table Reasoning Framework with Large Language Models
S Xiong, D Wang, Y Zhao, J Zhang, C Pan, H He, X Li, W Chang, Z He, et al.
arXiv preprint arXiv:2507.08046. 2025 -
A Two-stage Model Extraction Attack on GANs with a Small Collected Dataset
H Sun, T Zhu*, W Chang, W Zhou
Computers & Security, 137, 103634. 2024 -
Model Poisoning Defense on Federated Learning: A Validation Based Approach
Y Wang, T Zhu*, W Chang, S Shen, W Ren
International Conference on Network and System Security, 207–223 (NSS 2020). 2020
Note: * indicates the corresponding author.