anirudh9784 / Adversarial-Attacks-and-DefencesLinks
A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the prop…
☆20Updated 3 years ago
Alternatives and similar repositories for Adversarial-Attacks-and-Defences
Users that are interested in Adversarial-Attacks-and-Defences are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of `MagNet: a Two-Pronged Defense against Adversarial Examples`☆16Updated 4 years ago
- A PyTorch Implementation of the UAP attack☆19Updated 6 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 3 years ago
- This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…☆134Updated 4 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆58Updated 5 years ago
- Pytorch code for ens_adv_train☆15Updated 6 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Updated 2 years ago
- Universal Adversarial Networks☆33Updated 7 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- ☆41Updated last year
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40Updated 5 years ago
- Adversarial attacks including DeepFool and C&W☆13Updated 6 years ago
- This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial exam…☆34Updated 4 years ago
- ☆18Updated 2 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 6 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆90Updated 6 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆41Updated 4 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆44Updated 2 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆20Updated 5 years ago
- Paper sharing in adversary related works☆45Updated 2 weeks ago
- PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)☆19Updated 4 years ago
- AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool☆57Updated 6 years ago
- A pytorch implementation of "Explaining and harnessing adversarial examples"☆67Updated 5 years ago
- ☆51Updated 3 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆60Updated 6 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/ab…☆42Updated 2 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆24Updated 3 years ago