Adversarial training for CNN using MNIST
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Updated
Jan 10, 2017 - MATLAB
Adversarial training for CNN using MNIST
It turns out that adversarial and clean data are not twins, not at all.
Create adversarial images to fool a MNIST classifier in TensorFlow
Tensorflow code to perform targeted advesarial attacks on inception v3.
Submissions for NIPS competitions (non-targeted attack, targeted attack, defence)
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Adversarial Discriminative Domain Adaptation in Chainer
A PyTorch implementation of adversarial pose estimation for multi-person
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
Tensorflow implementation for generating adversarial examples using convex programming
A simple GUI application for generating adversarial poses of objects.
Crafting adversarial images
In this project, we are going to define two adversarial networks, a generator and a discriminator, and train them until we can generate realistic faces.
Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion
Adversarial example creation based on BFGS algorithm implemented under TensorFlow
Chrome extension for online image privacy. Returns you your privacy on uploaded social media images, by fooling machine learning-based image classification algorithms
An information security preparedness tool to do adversarial simulation.
TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`
My senior thesis on the effect of adversaries on a network coordination task
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