anishathalye / obfuscated-gradients
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
☆885Updated last year
Alternatives and similar repositories for obfuscated-gradients:
Users that are interested in obfuscated-gradients are comparing it to the libraries listed below
- Robust evasion attacks against neural network to find adversarial examples☆811Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆737Updated 2 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆381Updated 2 years ago
- Implementation of Papers on Adversarial Examples☆391Updated last year
- A simple and accurate method to fool deep neural networks☆359Updated 4 years ago
- Countering Adversarial Image using Input Transformations.☆492Updated 3 years ago
- ☆242Updated 6 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆253Updated 3 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆354Updated 6 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆682Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- A Toolbox for Adversarial Robustness Research☆1,317Updated last year
- Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge☆330Updated 4 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,813Updated 9 months ago
- Crafting adversarial images☆223Updated 6 years ago
- A curated list of awesome resources for adversarial examples in deep learning☆262Updated 3 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆230Updated 6 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆526Updated last year
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆234Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆923Updated last year
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆244Updated 5 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆439Updated 5 months ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,222Updated 8 months ago
- Tensorflow Implementation of Adversarial Attack to Capsule Networks☆174Updated 7 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆174Updated 3 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Updated last year
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆184Updated 4 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆222Updated 5 years ago
- PyTorch implementation of adversarial patch☆208Updated 2 years ago