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Search results for adversarial mnist

135 search results found

Manifoldmixup ⭐ 10

ManifoldMixup with support for Interpolated Adversarial training

Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org

Randomizedablation ⭐ 9

Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.

Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks

Semisupervised Learning With Dcgans ⭐ 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

Multiple Gan Tensorflow Mnist ⭐ 8

Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.

Adversarial Reprogramming Tensorflow ⭐ 8

TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146

Unrolled Gan ⭐ 8

Chainer implementation of Unrolled GAN

Gan Tensorflow ⭐ 8

Implementation of GAN in tensorflow

Vanilla Gan ⭐ 8

PyTorch implementation of Generative Adversarial Networks by Ian Goodfellow et al. on the MNIST dataset.

Open-set Recognition with Adversarial Autoencoders

Knn Defense ⭐ 8

Adversarial Examples on KNN (and its neural network friends)

"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).

K Beam Minimax ⭐ 8

Efficient minimax optimization for deep adversarial learning, and more.

Mnist Adversarial Examples ⭐ 7

Generating adversarial examples on MNIST using Theano

Cgan Keras ⭐ 7

Unimodal Conditional Generative Adversarial Network using Keras and MNIST dataset

Adversarialmachinelearning_comp551 ⭐ 7

Final Project for COMP 551. A detailed tutorial on the various techniques employed for adversarial attacks on machine learning classifiers and the possible ways to prevent such attacks.

Keras Dcgan ⭐ 7

Train a deep convolutional generative adversarial network to generate mnist data

Ganomaly Tf ⭐ 7

TensorFlow implementation of GANomaly (with MNIST dataset)

Generative Models ⭐ 7

Tutorial on deep generative models with experiments on MNIST

Domain Adversarial Neural Network ⭐ 7

Implementation of Domain Adversarial Neural Network in Tensorflow

Chainer Adversarial Autoencoder ⭐ 6

chainer implementation of Adversarial Autoencoder

Two Step Disentanglement Method ⭐ 6

Avid Adversarial Visual Irregularity Detection ⭐ 6

AVID: Adversarial Visual Irregularity Detection

(Unofficial) Tensorflow implementation of Adversarial Latent Autoencoder (ALAE, Pidhorskyi et al., 2020)

Statistical Robustness ⭐ 6

Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"

《케라스로 구현하는 고급 딥러닝 알고리즘》 예제 코드

Evilsplit ⭐ 6

Creating a difficult train/test split for MNIST

Generative Adversarial Text To Image Synthesis Tensorflow ⭐ 6

Tensorflow implementation of Generative Adversarial Text to Image Synthesis for MNIST handwritten digit dataset

Gainsboro Box Attacks ⭐ 5

An exploration into transfer learning and adversarial perturbations

Study Generative Adversarial Networks

Mnist Gan ⭐ 5

Generative Adversarial Networks for the MNIST dataset

Evolutionary Generated Adversarial Examples

Simple Gans ⭐ 5

Generative Adversarial Nets

Mnist Adversarial ⭐ 5

end-to-end targeted adversarial MNIST generator example

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