Yisong Xiao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

State Transition

Visual Recognition Tasks

Risk Minimization

Top Venues

Publications

Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26 (2024)
Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR (2024)
Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR (2024)
Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia (2023)
Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
Benchmarking the Robustness of Quantized Models. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA (2023)
Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR (2023)
Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang
Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection. CoRR (2023)
Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
Pre-trained Trojan Attacks for Visual Recognition. CoRR (2023)
Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1 (1) (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR (2023)
Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia (2021)