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Search results for adversarial cifar
adversarial
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cifar
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99 search results found
Alibi Detect
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2,010
Algorithms for outlier, adversarial and drift detection
Obfuscated Gradients
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846
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Gans
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776
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Ganomaly
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767
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Cifar10_challenge
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342
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Bag Of Tricks For At
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226
Empirical tricks for training robust models (ICLR 2021)
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Dba
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210
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
Vat_tf
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199
Virtual adversarial training with Tensorflow
Generative_adversarial_networks_101
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190
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Adversial_example_defense
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143
对抗性样本攻击与防御
Ruc
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126
Deep_mahalanobis_detector
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118
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
Capsule Gan
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111
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Self Adaptive Training
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104
Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
Puzzlemix
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101
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
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.
Lid_adversarial_subspace_detection
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72
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
Max Mahalanobis Training
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69
Max Mahalanobis Training (ICML 2018 + ICLR 2020)
Dcgan Tensorflow
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65
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Robust_overfitting
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64
Adversarial Contrastive Learning
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60
[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Gibbsnet
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57
Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
Adversarial Autoencoder
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57
An adversarial autoencoder implementation in pytorch
Mister_ed
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47
Pytorch Adversarial Attack Framework
Hsja
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46
Ml Afv
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44
Data Free Adversarial Distillation
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44
Code and pretrained models for paper: Data-Free Adversarial Distillation
Capsgan
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43
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Semisup Adv
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43
Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
Mart
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36
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
Vat_chainer
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36
Implementation of Virtual adversarial training with chainer
Catgan_pytorch
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34
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Me Net
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34
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Adversarial_spatial
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34
Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
Ead_attack
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30
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Awp
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29
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Adversarial_genattack
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28
Adversarial Dropout
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27
Deepdefense.pytorch
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26
Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
Turningweaknessintostrength
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26
Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Amp Regularizer
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25
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Ewr Pgd
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25
white box adversarial attack
Dada
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24
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
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)
Steingan
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23
code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Adversarylosslandscape
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22
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]
Torch_examples
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21
[adversarial] examples and training cost
Neural Fingerprinting
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21
Atda
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21
Improving the Generalization of Adversarial Training with Domain Adaptation
L2l Da
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20
Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
Hold Me Tight
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19
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
Neuralnetworkanalysis
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18
Framework for generating adversarial examples using formal methods and for analyzing robustness of DNNs.
Robustdl_gan
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16
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)
Dnn Datadependentactivation
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15
The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
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
F Anogan Pytorch
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15
Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
Deep Q Learning Adversarial
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14
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Anp_vs
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13
Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"
Chainer Lsgan
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13
Least Squares Generative Adversarial Network implemented in Chainer
Pytorch Gan
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13
My pytorch implementation for GAN
Deepbayes
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13
Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
Certifiedpatchdefense
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13
Repository for Certified Defenses for Adversarial Patch ICLR-2020
Adversarial Explanations Cifar
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13
Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness."
Adverserial_attack
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12
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
Bayesopt_attack
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12
Targeted black-box adversarial attack using Bayesian Optimization
Advflow
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12
Adversarial examples on keras and tensorflow
Uan
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12
Universal Adversarial Networks
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
M_testing_adversatial_sample
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10
Nattack
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10
Semisupervised Learning With Dcgans
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9
Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data
Sgd Uap Torch
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9
Universal Adversarial Perturbations (UAPs) for PyTorch
Magan
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9
Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks
Vector_matrix_capsulegan
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9
Implementation in the framework of my bachelor thesis: Generative Modelling using Capsule Generative Adversarial Networks
Me Ada
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8
"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
Metaadvdet
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8
The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"
Featurespaceattack
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8
Code for AAAI 2021 "Towards Feature Space Adversarial Attack".
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
Adversarialanddimensionality
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8
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
Vanilla Adversarial Training
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8
vanilla training and adversarial training in PyTorch
Atda_scb
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7
Adversarial Training with Domain Adaptation on Fashion-MNIST, SVHN, CIFAR-10 and CIFAR-100
Pytorch Adversarial Training Cifar
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7
This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
Image Compression
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7
Image compression using Variational Autoencoder and Generative Adversarial Networks.
Ood Attacks
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6
Attacks using out-of-distribution adversarial examples
Adversarialreprogramming
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6
Code for my blog post on Adversarial Reprogramming
Image Colorization
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6
Image Colorization of low resolution gray-scale images using Conditional Deep Convolutional Generative Adversarial Network(DC-GAN) in PyTorch.
Ganmodecollapseevaluation
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6
Code for training Generative Adversarial Networks (GANs) and evaluating the models' mode collapse
Lat_adversarial_robustness
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5
Pixel Discretization
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5
Pixel discretization defense against adversarial attacks
Evgena
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5
Evolutionary Generated Adversarial Examples
Artgan
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5
Creating Art with Generative Adversarial Networks
Patch Augmentation
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5
Code for the implemenation of the Patch Augmentation technique
Targeted_uap_cifar10
⭐
5
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