anishmadan23 / adversarial-attacks-pytorchLinks
This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.
☆32Updated 7 years ago
Alternatives and similar repositories for adversarial-attacks-pytorch
Users that are interested in adversarial-attacks-pytorch are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆125Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Updated 5 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 4 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 7 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆200Updated 2 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆126Updated 2 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Updated 5 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆73Updated 7 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆46Updated 6 years ago
- Craft poisoned data using MetaPoison☆54Updated 4 years ago
- AAAI 2019 oral presentation☆53Updated 6 months ago
- Code for generating adversarial color-shifted images☆19Updated 6 years ago
- Code for FAB-attack☆34Updated 5 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Updated 4 years ago
- ☆41Updated 2 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 3 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆65Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 5 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Updated 5 years ago
- ☆88Updated 4 years ago