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a-unified-approach-to-interpreting-and-boosting-adversarial-transferability

(IR black-box attack)A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)

aca

used for academic

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

consistency-models

A Toolkit for OpenAI's Consistency Models.

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

facesr-graduation-projection-2019

The project is designed and worked out by myself in 2019, containing that a punch of codes written by matlab realizing human-face-super-recognition.

fangchuan.github.io

grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

hello-world

jiyuan-liu.github.io

a category-centric theme for Jekyll

new-pac

为科学奋斗

pytorch-grad-cam

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

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

research-method

论文写作与资料分享

robustness

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

scalablebdl

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

smoothing

Provable adversarial robustness at ImageNet scale

torchcam

CAM', 'ScoreCAM', 'SSCAM', 'ISCAM' 'GradCAM', 'GradCAMpp', 'SmoothGradCAMpp', 'XGradCAM', 'LayerCAM' using by PyTorch.

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

x-anylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.