Related papers for robust machine learning
☆566May 25, 2023Updated 2 years ago
Alternatives and similar repositories for Papers-of-Robust-ML
Users that are interested in Papers-of-Robust-ML are comparing it to the libraries listed below
Sorting:
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆742May 16, 2024Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆772Mar 31, 2025Updated 11 months ago
- ☆162Feb 26, 2021Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆944Jan 11, 2024Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Dec 21, 2020Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Mar 30, 2020Updated 5 years ago
- A Toolbox for Adversarial Robustness Research☆1,367Sep 14, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Jul 7, 2020Updated 5 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Sep 13, 2023Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆685Dec 31, 2019Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆406May 20, 2019Updated 6 years ago
- A Self-Consistent Robust Error (ICML 2022)☆69Jun 25, 2023Updated 2 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆189Feb 18, 2021Updated 5 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Nov 2, 2020Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆506Aug 30, 2021Updated 4 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆228Oct 7, 2019Updated 6 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Nov 9, 2019Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212May 27, 2022Updated 3 years ago
- PyTorch Implementation of Adversarial Training for Free!☆249Aug 22, 2021Updated 4 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,943Dec 3, 2025Updated 3 months ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆758May 3, 2022Updated 3 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆260Apr 16, 2021Updated 4 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Mar 19, 2020Updated 5 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆525Oct 15, 2023Updated 2 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Oct 18, 2022Updated 3 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,138Aug 24, 2022Updated 3 years ago
- ☆18Sep 25, 2019Updated 6 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Must-read Papers on Textual Adversarial Attack and Defense☆1,576Jun 4, 2025Updated 9 months ago
- A list of backdoor learning resources☆1,161Jul 31, 2024Updated last year
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago