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2020 – today
- 2024
[j2]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: 6785-6798 (2024)- [c4]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. ACM Multimedia 2024: 5403-5412 - [i10]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 abs/2406.00934 (2024) - [i9]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 abs/2407.00600 (2024) - [i8]Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao:
BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. CoRR abs/2412.00746 (2024) - 2023
- [j1]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1(1) (2023) - [c3]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA 2023: 829-841 - [c2]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: 4178-4189 - [i7]Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin:
Benchmarking the Robustness of Quantized Models. CoRR abs/2304.03968 (2023) - [i6]Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang:
Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection. CoRR abs/2304.05098 (2023) - [i5]Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu:
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR abs/2304.05402 (2023) - [i4]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR abs/2305.11602 (2023) - [i3]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 abs/2308.00958 (2023) - [i2]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR abs/2308.02350 (2023) - [i1]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 abs/2312.15172 (2023) - 2021
- [c1]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: 21-27
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