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adaea

The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"

admix

advdrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

advinn

Official Code of "Imperceptible Adversarial Attack via Invertible Neural Networks"

cfa

Class-wise Calibrated Fair Adversarial Training

composite-adv

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

dra-blackboxattack

An unofficial implementation of the paper《Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective》

dss-pytorch

:star: PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

ebad

Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

ensemble_adversarial_attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

error_transformer

fia

code for "Feature Importance-aware Transferable Adversarial Attacks"

maskguided

Mask-Guided Noise Restriction Adversarial Attacks for Image Classication

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

mi-non-targeted

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

perc-adversarial

Large yet imperceptible adversarial perturbations with perceptual color distance (CVPR 2020)

pgd

A challenge to explore adversarial robustness of neural networks on MNIST.

pgd-pytorch

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

pytorch-adversarial-attack

Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

salient-object-detection

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

srzoo

SRZoo: An integrated repository for super-resolution using deep learning

ssa

Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples

styless

Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)

super-resolution-adversarial-defense

Image Super-Resolution as a Defense Against Adversarial Attacks

tgr

Official Pytorch implementation for "Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization" (CVPR 2023).