Towards Practical Certifiable Patch Defense with Vision Transformer

Author:

Chen Zhaoyu1,Li Bo2,Xu Jianghe2,Wu Shuang2,Ding Shouhong2,Zhang Wenqiang1

Affiliation:

1. Academy for Engineering and Technology, Fudan University

2. Tencent Youtu Lab

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Shanghai Science and Technology Committee

Publisher

IEEE

Reference45 articles.

1. Patchguard: Provable defense against adversarial patches using masks on small receptive fields;xiang;CoRR,2020

2. Making an invisibility cloak: Real world adversarial attacks on object detectors;wu;Computer Vision - ECCV 2020 – 16th European Conference,2020

3. Intriguing properties of neural networks;szegedy;2nd International Conference on Learning Representations ICLR 2014,2014

4. ImageNet Large Scale Visual Recognition Challenge

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