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Search results for adversarial mnist
adversarial
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mnist
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135 search results found
Keras Gan
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8,842
Keras implementations of Generative Adversarial Networks.
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
Tf Dann
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580
Domain-Adversarial Neural Network in Tensorflow
Trades
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459
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
Adversarial Examples Pytorch
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353
Implementation of Papers on Adversarial Examples
Pytorch Mnist Celeba Gan Dcgan
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302
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Adversarial Continual Learning
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243
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
Adversarial Autoencoder
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225
Chainer implementation of adversarial autoencoder (AAE)
Pytorch Mnist Celeba Cgan Cdcgan
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221
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
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
Tensorflow Adversarial
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204
Crafting adversarial images
Adda
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200
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.
Adversarialvariationalbayes
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185
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Bigan
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185
code for "Adversarial Feature Learning"
Tensorflow Mnist Gan Dcgan
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149
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Tensorflow Infogan
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148
🎎 InfoGAN: Interpretable Representation Learning
Adversial_example_defense
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143
对抗性样本攻击与防御
Generate_to_adapt
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115
Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
Capsule Gan
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111
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Tf Exercise Gan
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109
Tensorflow implementation of different GANs and their comparisions
Tensorflow Mnist Cgan Cdcgan
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106
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Ensemble Adv Training
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100
Ensemble Adversarial Training on MNIST
Vat
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99
Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
Simple_adversarial_examples
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96
Repo of simple adversarial examples on vanilla neural networks trained on MNIST
Pytorch Adversarial_box
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88
PyTorch library for adversarial attack and training
Deepconcolic
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85
Concolic Testing for Deep Neural Networks
Bagan
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80
Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.
Alice
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80
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Dcgan_tensorflow
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79
Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
S Lstm Gan Mnist
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73
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
Detecting Adversarial Samples
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70
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
Boundary Attack
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67
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
Adversarial
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66
Exploring the Space of Adversarial Images
Tensorflow Mnist Aae
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65
Tensorflow implementation of adversarial auto-encoder for MNIST
Dcgan Tensorflow
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65
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Gman
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62
GANs with multiple Discriminators
Gans 2.0
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60
Generative Adversarial Networks in TensorFlow 2.0
Adversarial Autoencoder
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57
An adversarial autoencoder implementation in pytorch
Analysisbysynthesis
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57
Adversarially Robust Neural Network on MNIST.
Generative_zoo
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50
Gan 70 Lines Of Julia
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47
A Knet implementation of MLP GAN for MNIST data.
Generative Model
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46
Repository for implementation of generative models with Tensorflow 1.x
Learning Not To Learn
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43
[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
Capsgan
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43
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Bgan
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42
boundary-seeking generative adversarial networks
Adversarial Autoencoder
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40
A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
Dcgan
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38
Implementation of Deep Convolutional Generative Adversarial Networks on MNIST database in Keras
Neuralode
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38
Experiments with Neural ODEs and Adversarial Attacks
Decorrelated Adversarial Autoencoder
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32
Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)
Reverse Cross Entropy
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31
Reverse Cross Entropy Training for Adversarial Detection (NeurIPS 2018)
Gce
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31
[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
Sadl
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30
Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
Ead_attack
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30
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Adda Pytorch
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29
Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch
Adversarial_genattack
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28
Adda_mnist64
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28
Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
Mnist_generative
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28
Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
Generative.models.tensorflow.v2
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27
Adr_da
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26
Fada Pytorch
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26
pytorch implement for the paper Few-Shot Adversarial Domain Adaptation
Deepdefense.pytorch
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26
Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
Domain Adversarial Training Of Neural Networks
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24
implement Domain-Adversarial Training of Neural Networks
Dcgan Pytorch
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23
A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Mnist Gan
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22
A Generative Adversarial Network (GAN) for generating mnist digits
Simple Gan Base On Matlab
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22
simple Generative Adversarial Networks base on matlab
Binarygan
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22
Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
Adversarial_reprogramming
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20
Adversarial Reprogramming of Neural Networks
Breaking_defensive_distillation
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20
Aae
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20
adversarial autoencoder (AAE) with tensorflow for MNIST
Chainer Adda
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20
Adversarial Discriminative Domain Adaptation in Chainer
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"
Gamo
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18
Generative Adversarial Minority Oversampling
Dan
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18
Demo code for the paper ''Distributional Adversarial Networks''
Deepnetworks
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17
My implementations of deep neural networks for practice.
Cleverhans Attacking Bnns
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17
Source for paper "Attacking Binarized Neural Networks"
Cost Sensitive Robustness
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16
A general method for training cost-sensitive robust classifier
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)
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
Adversarial Autoencoder
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15
Tensorflow 2.0 implementation of Adversarial Autoencoders
Pytorch Mnist Gan
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15
Dnn Datadependentactivation
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15
The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
Ape Gan
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15
Tensorflow implementation of Our APE-GAN
Pgd_adversarial_training
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14
Adversarial training with PGD adversarial examples
The Incredible Tensorflow
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14
The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
Deep Q Learning Adversarial
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14
Mnist Adversarial Images
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14
Create adversarial images to fool a MNIST classifier in TensorFlow
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Certifiedpatchdefense
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13
Repository for Certified Defenses for Adversarial Patch ICLR-2020
Chainer Lsgan
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13
Least Squares Generative Adversarial Network implemented in Chainer
Ensemble Adv Training Pytorch
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13
Ensemble Adversarial Training on MNIST with pytorch
Dann
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13
Pytorch implementation of DANN
Adversarialgradient
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12
A very simple variant of adversarial training that yields excellent results on MNIST
Confidence Calibrated Adversarial Training
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11
Implementation of Confidence-Calibrated Adversarial Training (CCAT).
Vat Pytorch
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11
Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976
Deepdomainadaptation
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10
Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)
Ganmm
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10
Mixture of Generative Adversarial Networks for Clustering
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