Corruption and Perturbation Robustness (ICLR 2019)
☆1,168Aug 24, 2022Updated 3 years ago
Alternatives and similar repositories for robustness
Users that are interested in robustness are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆283Jul 23, 2021Updated 4 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆781Apr 14, 2026Updated 3 months ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Updated this week
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Jan 11, 2024Updated 2 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆813May 2, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆47Nov 6, 2022Updated 3 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆528Updated this week
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆748May 16, 2024Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 6 years ago
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆470May 20, 2021Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆226Apr 16, 2020Updated 6 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,630Dec 16, 2025Updated 7 months ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 2 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62May 24, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- A Toolbox for Adversarial Robustness Research☆1,364Sep 14, 2023Updated 2 years ago
- A script that applies the AdaIN style transfer method to arbitrary datasets☆166Jul 5, 2021Updated 5 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,971Dec 3, 2025Updated 7 months ago
- Python package to corrupt arbitrary images.☆477May 6, 2025Updated last year
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆556Mar 30, 2023Updated 3 years ago
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale☆235May 26, 2022Updated 4 years ago
- ☆144Oct 2, 2020Updated 5 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆599Jan 26, 2024Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆357Aug 13, 2019Updated 6 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆74Feb 14, 2022Updated 4 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Aug 14, 2023Updated 2 years ago
- Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS …☆194Jul 25, 2019Updated 6 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 5 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆191Feb 18, 2021Updated 5 years ago
- A new test set for ImageNet☆267May 13, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆764May 3, 2022Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆511Aug 30, 2021Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆362Apr 17, 2025Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆141May 19, 2023Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Jul 25, 2024Updated last year