A defense method based on attention mechanism against traffic sign adversarial samples. - Hailiang Li; Bin Zhang; Yu Zhang 201; Xilin Dang; Yuwei Han; Linfeng Wei; Yijun Mao; Jian Weng 001 (Inf. Fusion, 2021)

Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation. - Eric Ke Wang; Zicong Chen; Xilin Dang; Xuan Fan; Xuming Han; Chien-Ming Chen 001; Weiping Ding 001; Siu-Ming Yiu; Jian Weng 001 (Pattern Recognit., 2023)

Low-rank Adaptation for Spatio-Temporal Forecasting. - Weilin Ruan; Wei Chen; Xilin Dang; Jianxiang Zhou; Weichuang Li; Xu Liu; Yuxuan Liang (CoRR, 2024)

The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? - Yiyi Zhang 001; Xingyu Chen; Kexin Chen 003; Yuyang Du 001; Xilin Dang; Pheng-Ann Heng (CoRR, 2025)