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3d_corruptions_ad

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

adversarial-distributional-training

Adversarial Distributional Training (NeurIPS 2020)

adversarial-robustness-benchmark

attack-bard

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

b3d

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

di-2-fgsm

Improving Transferability of Adversarial Examples with Input Diversity

dongyp13.github.io

face-robustness-benchmark

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

memorization-at

mmlda

A Strong and Efficient Adversarial Defense

non-targeted-adversarial-attacks

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

os_lab

place-attention

prior-guided-rgf

Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".

rce

Reverse Cross Entropy Training

realsafe

rectified-rejection

Improving adversarial robustness by a coupling rejection strategy

robust-and-explainable-machine-learning

Related materials for robust and explainable machine learning

stochastic-quantization

Training Low-bits DNNs with Stochastic Quantization

targeted-adversarial-attack

A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition

translation-invariant-attacks

The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

video-caption

viewfool_

This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).

youtube-8m