WBA: A Warping-based Approach to Generating Imperceptible Adversarial Examples. - Chengyao Hua; Shigeng Zhang; Weiping Wang 003; Zhankai Li; Jian Zhang 048 (TrustCom, 2022)

LSD: Adversarial Examples Detection Based on Label Sequences Discrepancy. - Shigeng Zhang; Shuxin Chen; Chengyao Hua; Zhetao Li; Yanchun Li; Xuan Liu 001; Kai Chen 012; Zhankai Li; Weiping Wang 003 (IEEE Trans. Inf. Forensics Secur., 2023)

UCG: A Universal Cross-Domain Generator for Transferable Adversarial Examples. - Zhankai Li; Weiping Wang 003; Jie Li 086; Kai Chen 012; Shigeng Zhang (IEEE Trans. Inf. Forensics Secur., 2024)

Foolmix: Strengthen the Transferability of Adversarial Examples by Dual-Blending and Direction Update Strategy. - Zhankai Li; Weiping Wang 003; Jie Li 086; Kai Chen 012; Shigeng Zhang (IEEE Trans. Inf. Forensics Secur., 2024)