Super Pix Adv - Offical implemention of Robust Superpixel-Guided Attentional Adversarial Attack (CVPR2020)

Last update: Oct 26, 2022

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Deep Learning Super_Pix_Adv

Overview

Super_Pix_Adv

Offical implemention of Robust Superpixel-Guided Attentional Adversarial Attack (CVPR2020)

Setup

Install python -- This repo is tested with 3.6
Install PyTorch version >= 1.0.0, torchvision >= 0.2.1
Download Inception-v3 pretrained model from https://download.pytorch.org/models/inception_v3_google-1a9a5a14.pth and move it to ./PRETRAIN/

Super-Pixel Generation

python -u get_slic.py

K: number of super pixels

M: compactness factor

We resize the image to 299x299 as pre-process and 400 images example can be found at here

Adversarial Attack

run on ImageNet dataset for white-box attack succes rate and robustness toward resize(2x)

python -u abim_sup.py

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Releases(v1.0.0)

v1.0.0(Jan 5, 2022)

Source code(tar.gz)
Source code(zip)
example.zip(84.79 MB)

Owner

DLight

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