as791 / Adversarial-Example-Attack-and-DefenseLinks
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
☆136Updated 5 years ago
Alternatives and similar repositories for Adversarial-Example-Attack-and-Defense
Users that are interested in Adversarial-Example-Attack-and-Defense are comparing it to the libraries listed below
Sorting:
- AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool☆58Updated 6 years ago
- Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)☆102Updated 4 years ago
- ☆53Updated 3 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆44Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Updated last year
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆276Updated 5 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆60Updated last year
- Code for "Adversarial attack by dropping information." (ICCV 2021)☆78Updated 3 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆133Updated 2 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆118Updated 3 years ago
- A pytorch implementation of "Adversarial Examples in the Physical World"☆19Updated 6 years ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆103Updated 3 years ago
- Paper sharing in adversary related works☆45Updated 4 months ago
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆116Updated 6 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆158Updated 6 years ago
- Using FGSM, I-FGSM and MI-FGSM to generate and evaluate adversarial samples.☆12Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212Updated 3 years ago
- ☆71Updated 4 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆16Updated 4 years ago
- ☆88Updated 4 years ago
- Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)☆64Updated 5 years ago
- Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topic…☆64Updated 6 years ago
- The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"☆59Updated 4 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆126Updated 3 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆60Updated 6 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Updated 4 years ago
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆93Updated 3 years ago
- The code of ICCV2021 paper "Meta Gradient Adversarial Attack"☆25Updated 4 years ago
- A pytorch implementation of "Explaining and harnessing adversarial examples"☆69Updated 6 years ago
- ☆31Updated 4 years ago