Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
☆192Feb 18, 2021Updated 5 years ago
Alternatives and similar repositories for AWP
Users that are interested in AWP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Mar 4, 2022Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆559Mar 30, 2023Updated 3 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Apr 28, 2020Updated 6 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Sep 13, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆163Feb 26, 2021Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆754May 16, 2024Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 5 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Apr 28, 2022Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆259May 25, 2023Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆144Jul 31, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆28Mar 15, 2022Updated 4 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆788Apr 14, 2026Updated 6 months ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆71Nov 17, 2020Updated 5 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Mar 29, 2023Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆97Sep 23, 2021Updated 5 years ago
- A Self-Consistent Robust Error (ICML 2022)☆69Jun 25, 2023Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 5 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆445Jul 25, 2024Updated 2 years ago
- ☆13Mar 1, 2019Updated 7 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.
- Pytorch implementation of NPAttack☆13Jul 7, 2020Updated 6 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆178Jul 5, 2024Updated 2 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- ☆20Mar 14, 2022Updated 4 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
- ☆58Jul 27, 2022Updated 4 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Aug 22, 2021Updated 5 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆947Jan 11, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- ☆21Mar 14, 2025Updated last year
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Jul 5, 2024Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆62Mar 17, 2021Updated 5 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆26Dec 23, 2020Updated 5 years ago