 Towards Adversarial Robustness of Model-Level Mixture-of-Experts
Architectures for Semantic SegmentationInternational Conference on Machine Learning and Applications (ICMLA), 2024 |
 Revisiting and Exploring Efficient Fast Adversarial Training via LAW:
Lipschitz Regularization and Auto Weight AveragingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 |
 Fooling Polarization-based Vision using Locally Controllable Polarizing
ProjectionComputer Vision and Pattern Recognition (CVPR), 2023 |
 Ensemble-based Blackbox Attacks on Dense PredictionComputer Vision and Pattern Recognition (CVPR), 2023 |
 Influencer Backdoor Attack on Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2023 |
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 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and
Boosting Segmentation RobustnessEuropean Conference on Computer Vision (ECCV), 2022 |
 LAS-AT: Adversarial Training with Learnable Attack StrategyComputer Vision and Pattern Recognition (CVPR), 2022 |
