Adversarial training for CNN using MNIST
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Updated
Jan 10, 2017 - MATLAB
Adversarial training for CNN using MNIST
Simulation of adversarial queueing (high packet loss) events in computer networks.
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
A implement of adversarial autoencoder with tensorflow
Data augmentation for Captcha
The classical papers and codes about generative adversarial nets
Implementation of 'Simple Black-Box Adversarial Perturbations for Deep Networks' https://openreview.net/pdf?id=SJCscQcge
Some of my experiments targeting adversarial instances
In this project, you'll use generative adversarial networks to generate new images of faces. 👦 👧 👨 👩 👴 👵
UofU GANS
Tensorflow code to perform targeted advesarial attacks on inception v3.
Building a GAN in TensorFlow trained on MNIST dataset
An attempt to learn how to build discriminator networks for GAN
The code of "Invertible conditional GANs for image editing" in tensorflow
Tensorflow implementation of adversarial auto-encoder for MNIST
The simplest implementation for playing Atari games using game screen as input.
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