Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"

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Deep LearningPAR
Overview

Patch-wise Adversarial Removal

Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal".

Introduction

Patch-wise Adversarial Removal (PAR) is a new decision-based black-box attack against vision transformers, which divides images into patches through a coarse-to-fine search process and compresses the noise on each patch separately.

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