Harry24k / FGSM-pytorch
A pytorch implementation of "Explaining and harnessing adversarial examples"
☆64Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for FGSM-pytorch
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆53Updated 5 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆92Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)☆87Updated last year
- Simple pytorch implementation of FGSM and I-FGSM☆276Updated 6 years ago
- PyTorch library for adversarial attack and training☆143Updated 5 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆146Updated 5 years ago
- This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…☆122Updated 3 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 3 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆139Updated last year
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆42Updated 5 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆44Updated 5 years ago
- ☆79Updated 3 years ago
- A novel data-free model stealing method based on GAN☆123Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆81Updated 8 months ago
- ☆40Updated last year
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- ☆68Updated 3 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆40Updated last year
- AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool☆55Updated 5 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 2 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆36Updated 4 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- The code of ICCV2021 paper "Meta Gradient Adversarial Attack"☆23Updated 2 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆84Updated 6 years ago
- A pytorch implementation of "Adversarial Examples in the Physical World"☆17Updated 5 years ago
- ☆63Updated 3 years ago
- A PyTorch Implementation of the UAP attack☆19Updated 5 years ago
- ☆79Updated 5 years ago