dongyp13

Non-Targeted-Adversarial-Attacks

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

Translation-Invariant-Attacks

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

Targeted-Adversarial-Attack

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

Stochastic-Quantization

Training Low-bits DNNs with Stochastic Quantization

Adversarial-Distributional-Training

Adversarial Distributional Training (NeurIPS 2020)

Robust-and-Explainable-Machine-Learning

Related materials for robust and explainable machine learning

memorization-AT

os_lab

ViewFool_

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

dongyp13.github.io

Face-Robustness-Benchmark

video-caption

cleverhans

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

DI-2-FGSM

Improving Transferability of Adversarial Examples with Input Diversity

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

MMLDA

A Strong and Efficient Adversarial Defense

youtube-8m

adversarial-robustness-benchmark

B3D

foolbox

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

place-attention

RCE

Reverse Cross Entropy Training

3D_Corruptions_AD

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

Attack-Bard

Prior-Guided-RGF

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

realsafe

Rectified-Rejection

Improving adversarial robustness by a coupling rejection strategy