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Xingxing Wei*

2 accepted papers

2024

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks

ECCV 2024poster

"Adversarial attacks, particularly patch attacks, pose significant threats to the robustness and reliability of deep learning models. Developing reliable defenses against patch attacks is crucial for real-world applications. This paper introduces DIFFender, a novel defense framework that harnesses t…

2024

Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models

ECCV 2024oral

"Vision-Language Pre-training (VLP) models like CLIP have achieved remarkable success in computer vision and particularly demonstrated superior robustness to distribution shifts of 2D images. However, their robustness under 3D viewpoint variations is still limited, which can hinder the development f…