Publications

Yanyun Wang, Li Liu, Zi Liang, Yi R. (May) Fung, Qingqing Ye, Haibo Hu (2025). New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. ArXiv Preprint.

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Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang (2025). Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. ArXiv Preprint.

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Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu (2025). Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data. In Annual Conference on Neural Information Processing Systems (NeurIPS'25). Spotlight. Accepted to appear.

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Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu (2025). BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model. In Annual Conference on Neural Information Processing Systems (NeurIPS'25). Accepted to appear.

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Yanyun Wang, Li Liu (2025). Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training. In International Conference on Computer Vision (ICCV'25). Accepted to appear.

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Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu (2025). "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. In Annual Meeting of the Association for Computational Linguistics (ACL'25). Main conference.

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Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang, Yuanhao Liu (2024). TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack. In European Conference on Artificial Intelligence (ECAI'24). Oral.

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Yanyun Wang, Dehui Du, Yuanhao Liu (2023). Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers. In IEEE International Conference on Systems, Man, and Cybernetics (SMC'23).

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Mingjun Ma, Dehui Du, Yuanhao Liu, Yanyun Wang, Yiyang Li (2022). Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite Automata. In SafeAI Workshop @ AAAI Conference on Artificial Intelligence (AAAI'22). Best Paper Award Nomination.

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