Yisong Xiao

According to our database, Yisong Xiao authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Improving Deepfake Detection Generalization by Invariant Risk Minimization.

Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu

IEEE Trans. Multim., 2024

2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

Pre-trained Trojan Attacks for Visual Recognition.

Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao

CoRR, 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations.

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu

CoRR, 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection.

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CoRR, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.

Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.

Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021