Yatie Xiao

According to our database, Yatie Xiao authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation.

Weidong Zheng, Kongyang Chen, Yuanwei Guo, Yatie Xiao

CoRR, May, 2026

Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach.

Weidong Zheng, Kongyang Chen, Yao Huang, Yuanwei Guo, Yatie Xiao

CoRR, April, 2026

Harnessing Transferable Adversarial Examples via Multilayer Attention-Guided Spatial Transformations.

Pengfei Dong, Yatie Xiao, Chi-Man Pun, Fei Peng, Kongyang Chen, Qingxian Guan, Siyuan Chen, Xiangyu Ye, Zhenbang Liu

IEEE Trans. Reliab., 2026

Towards structural transformation-based attack for boosting transferability of adversarial examples.

Yatie Xiao, Chi-Man Pun, Fei Peng, Kongyang Chen, Qingxiao Guan

Pattern Recognit., 2026

TFPA: Enhancing adversarial attack on speech recognition via Time-Frequency Pre-alignment.

Xiangyu Ye, Yatie Xiao, Kongyang Chen, Qingxiao Guan, Zhenbang Liu

Knowl. Based Syst., 2026

Towards transferable adversarial attacks with multi-scale structure-frequency transformations.

Long He, Pian Wang, Yatie Xiao, Kongyang Chen, Chang Liu, Qingxiao Guan, Zhenbang Liu

Knowl. Based Syst., 2026

Skew-normal distributions for modeling asymmetric moving tendencies in pedestrian trajectories.

Siyuan Chen, Yatie Xiao, Yangtao Wang, Yanzhao Xie, Tong Zhu, Rui Duan, Jinbiao Chen

Neurocomputing, 2026

CHM: Context Hiding and Misguidance for Robust Adversarial Attacks on Active Speaker Detection.

Xiangyu Ye, Yatie Xiao, Qingxiao Guan, Zhenbang Liu

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

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, Qintai Yang

IEEE Open J. Commun. Soc., 2025

Towards adversarial patch attacks on deep crowd-counting networks via density-aware normalized feature learning.

Yatie Xiao, Siyuan Chen, Kongyang Chen, Qingxiao Guan, Zhenbang Liu

Knowl. Based Syst., 2025

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

Text Self-Supervision Enhances Visual-Language Learning for Person Re-Identification.

Bin Wang, Huakun Huang, Guowei Liu, Yatie Xiao, Lingjun Zhao, Zhenbang Liu

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

2023

Revisiting the transferability of adversarial examples via source-agnostic adversarial feature inducing method.

Yatie Xiao, Jizhe Zhou, Kongyang Chen, Zhenbang Liu

Pattern Recognit., December, 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., December, 2023

A Review of Adversarial Attacks and Defenses on Graphs.

Hanjin Sun, Wen Yang, Yatie Xiao

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2021

Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation.

Yatie Xiao, Chi-Man Pun, Bo Liu

Pattern Recognit., 2021

Improving adversarial attacks on deep neural networks via constricted gradient-based perturbations.

Yatie Xiao, Chi-Man Pun

Inf. Sci., 2021

2020

Adversarial example generation with adaptive gradient search for single and ensemble deep neural network.

Yatie Xiao, Chi-Man Pun, Bo Liu

Inf. Sci., 2020

Crafting adversarial example with adaptive root mean square gradient on deep neural networks.

Yatie Xiao, Chi-Man Pun, Bo Liu

Neurocomputing, 2020