Max Mahalanobis Training (ICML 2018 + ICLR 2020)
☆90Dec 21, 2020Updated 5 years ago
Alternatives and similar repositories for Max-Mahalanobis-Training
Users that are interested in Max-Mahalanobis-Training are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Jul 7, 2020Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆48May 14, 2021Updated 5 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆35Dec 9, 2020Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆259May 25, 2023Updated 3 years ago
- interesting & promising & widely adopted tricks for SOTA performance in machine learning community.☆15Apr 13, 2021Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- A Self-Consistent Robust Error (ICML 2022)☆69Jun 25, 2023Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Jun 1, 2024Updated 2 years ago
- ☆13Mar 1, 2019Updated 7 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆29Feb 1, 2022Updated 4 years ago
- An efficient adversarial defense method with strong insights which won the fifth place of the IJCAI-2019 Alibaba Adversarial AI Challen…☆12Oct 25, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Adversarial Distributional Training (NeurIPS 2020)☆62Mar 17, 2021Updated 5 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38May 31, 2022Updated 4 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆754May 16, 2024Updated 2 years ago
- Learning perturbation sets for robust machine learning☆66Aug 23, 2021Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆97Sep 23, 2021Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 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
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆192Feb 18, 2021Updated 5 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆57Oct 24, 2019Updated 6 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 years ago
- ☆21Jul 25, 2024Updated 2 years ago
- A Toolbox for Adversarial Robustness Research☆1,365Sep 14, 2023Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆682Dec 31, 2019Updated 6 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 8 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.
- Unofficial implementation of the paper 'Adversarial Training for Free'☆23May 8, 2019Updated 7 years ago
- ☆13Jul 25, 2023Updated 3 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆38Jan 23, 2024Updated 2 years ago
- ☆20Oct 3, 2019Updated 7 years ago
- ☆163Feb 26, 2021Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Jan 10, 2021Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Dec 8, 2022Updated 3 years ago