Crafting adversarial example with adaptive root mean square gradient on deep neural networks. - Yatie Xiao; Chi-Man Pun; Bo Liu 047 (Neurocomputing, 2020)

Adversarial example generation with adaptive gradient search for single and ensemble deep neural network. - Yatie Xiao; Chi-Man Pun; Bo Liu 047 (Inf. Sci., 2020)

Improving adversarial attacks on deep neural networks via constricted gradient-based perturbations. - Yatie Xiao; Chi-Man Pun (Inf. Sci., 2021)

Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation. - Yatie Xiao; Chi-Man Pun; Bo Liu 047 (Pattern Recognit., 2021)

A Review of Adversarial Attacks and Defenses on Graphs. - Hanjin Sun; Wen Yang; Yatie Xiao (ICAICE, 2023)

Towards evaluating the robustness of deep neural semantic segmentation networks with Feature-Guided Method. - Yatie Xiao; Chi-Man Pun; Kongyang Chen (Knowl. Based Syst., 2023)

Revisiting the transferability of adversarial examples via source-agnostic adversarial feature inducing method. - Yatie Xiao; Jizhe Zhou; Kongyang Chen; Zhenbang Liu (Pattern Recognit., 2023)

Text Self-Supervision Enhances Visual-Language Learning for Person Re-Identification. - Bin Wang; Huakun Huang; Guowei Liu; Yatie Xiao; Lingjun Zhao; Zhenbang Liu (MCSoC, 2024)

EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems. - Kongyang Chen; Yi Lin; Hui Luo; Bing Mi; Yatie Xiao; Chao Ma; Jorge Sá Silva (CoRR, 2024)

Private Data Leakage in Federated Contrastive Learning Networks. - Kongyang Chen; Wenfeng Wang; Zixin Wang; Yao Huang; Yatie Xiao; Wangjun Zhang; Zhipeng Li; Zhefei Guo; Zhucheng Luo; Lin Yin; Haiyan Mai; Xiaoying Wang; et al. (IEEE Open J. Commun. Soc., 2025)