Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite Automata. - Mingjun Ma; Dehui Du; Yuanhao Liu; Yanyun Wang 003; Yiyang Li (SafeAI@AAAI, 2022)

TSFool: Crafting High-quality Adversarial Time Series through Multi-objective Optimization to Fool Recurrent Neural Network Classifiers. - Yanyun Wang 003; Dehui Du; Yuanhao Liu (CoRR, 2022)

Meta Pattern Concern Score: A Novel Metric for Customizable Evaluation of Multi-classification. - Yanyun Wang 003; Dehui Du; Yuanhao Liu (CoRR, 2022)

Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers. - Yanyun Wang 003; Dehui Du; Yuanhao Liu (SMC, 2023)

TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack. - Yanyun Wang 003; Dehui Du; Haibo Hu 001; Zi Liang; Yuanhao Liu (ECAI, 2024)

Alignment-Aware Model Extraction Attacks on Large Language Models. - Zi Liang; Qingqing Ye 001; Yanyun Wang 003; Sen Zhang 002; Yaxin Xiao; Ronghua Li; Jianliang Xu; Haibo Hu 001 (CoRR, 2024)

New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. - Yanyun Wang 003; Li Liu 036; Zi Liang; Qingqing Ye 001; Haibo Hu 001 (CoRR, 2024)

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. - Zi Liang; Qingqing Ye 001; Yanyun Wang 003; Sen Zhang 002; Yaxin Xiao; Ronghua Li; Jianliang Xu; Haibo Hu 001 (ACL (1), 2025)

BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model. - Weilin Lin; Nanjun Zhou; Yanyun Wang 003; Jianze Li; Hui Xiong; Li Liu 036 (CoRR, 2025)

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. - Ziyu Zhou; Yiming Huang; Yanyun Wang 003; Yuankai Wu; James T. Kwok; Yuxuan Liang (CoRR, 2025)

Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training. - Yanyun Wang 003; Li Liu 036 (CoRR, 2025)