data augmentation alone can improve adversarial training

CAT: Collaborative Adversarial Training

Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs/2006.12621

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

2D collision detection system.

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

Towards Fairness-Aware Adversarial Learning - CVPR 2024

PyTorch implementation of adversarial attacks [torchattacks]

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Fast falling sand game made within Godot and utilizing GDExtension features

A base for falling sand cellular automata. You can add liquids, solids, gases.

Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"

Code for ICML paper "Second-Order Provable Defenses against Adversarial Attacks"

Concealed Object Detection, IEEE TPAMI 2021 (CVPR2020 extended version).

Official Pytorch implementation for our AAAI 2023 paper HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

YoloV3 Implemented in Tensorflow 2.0

Convolutional Neural Networks

An adversarial attack on object detectors

Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Adversarial Texture for Fooling Person Detectors in the Physical World