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adversarial_ml.research

agfvisualization

Official code for "Attribution Guided Factorization for Neural Networks Visualization"

bottleneck

PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)

cgc

Official PyTorch code for the CVPR 2022 paper - Consistent Explanations by Contrastive Learning

cifar10-resnet50-pytorch

95.6% (highest 95.67) test accuracy training procedure of CIFAR10-ResNet50

classifying-adversrial-data

fgsm

Simple pytorch implementation of FGSM and I-FGSM

fsr

Feature Separation and Recalibration (CVPR 2023 Highlights)

hbar

k28-week9-spacerocks

nnproject_ku

pfe-pytorch

Probabilistic Face Embeddings[2019-ICCV]

pgd-pytorch

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

pytorch-adversarial-training-cifar

This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-grad-cam

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

pytorch-model-compare

Compare neural networks by their feature similarity

pytorch-smoothgrad

SmoothGrad implementation in PyTorch

relevance-cam

The official code of Relevance-CAM

robust_representation_similarity

Understanding robust learning through the lens of representation similarity

robustness

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

rocl

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

torchlrp

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

trades

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