pfnet-research / nips17-adversarial-attack
Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)
☆148Updated 6 years ago
Alternatives and similar repositories for nips17-adversarial-attack:
Users that are interested in nips17-adversarial-attack are comparing it to the libraries listed below
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- ☆66Updated 6 years ago
- NIPS Adversarial Vision Challenge☆41Updated 6 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆117Updated 6 years ago
- 5th place solution in "NIPS 2017: Non-targeted Adversarial Attack" (with solution in targeted attack and defence)☆10Updated 7 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆131Updated 6 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- An implementation of the 'fast gradient sign method' from the paper 'Explaining and Harnessing Adversarial Examples'☆55Updated 7 years ago
- Tensorflow Implementation of Adversarial Attack to Capsule Networks☆173Updated 7 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆232Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆92Updated last year
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆246Updated 5 years ago
- Tensorflow implementation of Our APE-GAN☆23Updated 6 years ago
- Mitigating Adversarial Effects Through Randomization☆119Updated 7 years ago
- Generating Natural Adversarial Examples, ICLR 2018☆143Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆168Updated 3 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆175Updated 3 years ago
- Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track☆45Updated 7 years ago
- Countering Adversarial Image using Input Transformations.☆491Updated 3 years ago
- Related materials for robust and explainable machine learning☆47Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- AAAI 2019 oral presentation☆50Updated 7 months ago
- CAAD 2018 winning submissions☆35Updated 6 years ago
- VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo☆130Updated last year
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 7 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆70Updated 6 years ago