Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
☆137Nov 25, 2020Updated 5 years ago
Alternatives and similar repositories for fast_adversarial
Users that are interested in fast_adversarial are comparing it to the libraries listed below
Sorting:
- Improving Transferability of Adversarial Examples with Input Diversity☆167Apr 30, 2019Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆39Sep 22, 2018Updated 7 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Jun 9, 2017Updated 8 years ago
- ☆88Jul 25, 2024Updated last year
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 7 years ago
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆24Mar 28, 2024Updated last year
- Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …☆21Sep 22, 2018Updated 7 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆685Dec 31, 2019Updated 6 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Sep 27, 2018Updated 7 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Nov 9, 2019Updated 6 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆252Oct 30, 2019Updated 6 years ago
- AAAI 2019 oral presentation☆53May 30, 2025Updated 9 months ago
- Comparison of gradient estimation techniques for black-box adversarial examples☆11Oct 31, 2018Updated 7 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Jun 3, 2020Updated 5 years ago
- Robust evasion attacks against neural network to find adversarial examples☆859Jun 1, 2021Updated 4 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆129Oct 24, 2019Updated 6 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Nov 3, 2018Updated 7 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Nov 2, 2020Updated 5 years ago
- A Toolbox for Adversarial Robustness Research☆1,367Sep 14, 2023Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆505Aug 30, 2021Updated 4 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 5 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Jun 21, 2018Updated 7 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆179Jul 25, 2024Updated last year
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Feb 25, 2018Updated 8 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Dec 12, 2020Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆246Oct 24, 2019Updated 6 years ago
- PyTorch library for adversarial attack and training☆145Jan 16, 2019Updated 7 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆758May 3, 2022Updated 3 years ago
- Countering Adversarial Image using Input Transformations.☆497Sep 29, 2021Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆166Nov 20, 2025Updated 3 months ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Feb 15, 2020Updated 6 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Aug 22, 2021Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Feb 10, 2023Updated 3 years ago
- Pytorch code for ens_adv_train☆17Jun 7, 2019Updated 6 years ago