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49 search results found
Obfuscated Gradients
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846
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Cifar10_challenge
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342
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Dba
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210
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
Jem
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154
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
Evaluatingdpml
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112
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
Free_adv_train
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95
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Badnets Pytorch
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70
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
Max Mahalanobis Training
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69
Max Mahalanobis Training (ICML 2018 + ICLR 2020)
Mister_ed
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47
Pytorch Adversarial Attack Framework
Hsja
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46
Linbp Attack
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38
Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
Me Net
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34
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Ead_attack
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30
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Mixup Inference
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29
Further improve robustness of mixup-trained models in inference (ICLR 2020)
Adversarial_genattack
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28
Turningweaknessintostrength
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26
Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength
One Pixel Attack Pytorch
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26
Pytorch reimplementation of "One pixel attack for fooling deep neural networks"
Ewr Pgd
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25
white box adversarial attack
Recoloradv
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24
ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
Parsimonious Blackbox Attack
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24
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (ICML 2019)
Dfst
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23
This is the repository for DFST paper Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification.
Neural Fingerprinting
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21
L2l Da
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20
Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
Inverse_collaborative_inference
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18
Metric_learning_adversarial_robustness
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17
Code for NeurIPS 2019 Paper
Stn Code
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17
Code for Stability Training with Noise (STN)
Zoo_attack_pytorch
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16
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
Adversarial Robustness Benchmark
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15
Ead Attack
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15
Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Deepbayes
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13
Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
Semi Supervised_robust_training
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12
This is the code for semi-supervised robust training (SRT).
Bayesopt_attack
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12
Targeted black-box adversarial attack using Bayesian Optimization
Adverserial_attack
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12
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
Peernets Pytorch
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11
A pytorch implementation of 'PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks'
Bilateral Adversarial Training
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10
Nattack
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10
Improved_wasserstein
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9
Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
Vanilla Adversarial Training
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8
vanilla training and adversarial training in PyTorch
Featurespaceattack
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8
Code for AAAI 2021 "Towards Feature Space Adversarial Attack".
Patchsmoothing
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8
Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.
Metaadvdet
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8
The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"
Linear Region Attack
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8
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
Subspace Attack.pytorch
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6
Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Backdoor_data_poisoning
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6
Ood Attacks
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6
Attacks using out-of-distribution adversarial examples
Lat_adversarial_robustness
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5
Pixel Discretization
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5
Pixel discretization defense against adversarial attacks
Poisoning Attack
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5
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