PyTorch Implementation of Adversarial Training for Free!
☆249Aug 22, 2021Updated 4 years ago
Alternatives and similar repositories for FreeAdversarialTraining
Users that are interested in FreeAdversarialTraining are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177May 3, 2024Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Jul 25, 2024Updated 2 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆556Mar 30, 2023Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆511Aug 30, 2021Updated 4 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆254Aug 26, 2020Updated 5 years ago
- A Toolbox for Adversarial Robustness Research☆1,364Sep 14, 2023Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Jan 11, 2024Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆748May 16, 2024Updated 2 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆191Feb 18, 2021Updated 5 years ago
- ☆10Sep 25, 2019Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆764May 3, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- Empirical tricks for training robust models (ICLR 2021)☆259May 25, 2023Updated 3 years ago
- Provable adversarial robustness at ImageNet scale☆414May 20, 2019Updated 7 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,972Dec 3, 2025Updated 7 months ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 7 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆782Apr 14, 2026Updated 3 months ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆126Sep 13, 2023Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 4 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Dec 23, 2020Updated 5 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆99Mar 4, 2022Updated 4 years ago
- 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
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆239Mar 27, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for FAB-attack☆34Jul 10, 2020Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Jun 3, 2020Updated 6 years ago
- ☆13Jul 25, 2024Updated 2 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Dec 30, 2021Updated 4 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆159Sep 4, 2019Updated 6 years ago
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆42Dec 7, 2020Updated 5 years ago