Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
☆20Nov 30, 2022Updated 3 years ago
Alternatives and similar repositories for robust-finetuning
Users that are interested in robust-finetuning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 3 years ago
- ☆13Jun 23, 2022Updated 4 years ago
- ☆12Feb 19, 2025Updated last year
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆40Dec 3, 2024Updated last year
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆19Sep 8, 2025Updated last year
- 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 FAB-attack☆35Jul 10, 2020Updated 6 years ago
- ☆46May 8, 2024Updated 2 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated 2 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Feb 24, 2022Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆49Feb 8, 2023Updated 3 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆46Sep 11, 2023Updated 3 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 4 years ago
- ☆22Jul 22, 2026Updated 2 months ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 4 years ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆162Feb 19, 2026Updated 7 months ago
- Repository for the paper 'Medical diffusion on a budget: textual inversion for medical image generation'☆13Dec 11, 2024Updated last year
- ☆17Jul 24, 2023Updated 3 years ago
- ☆11Mar 20, 2023Updated 3 years ago
- Slides and materials for various talks I've given☆17Dec 21, 2022Updated 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.
- Directed masked autoencoders☆14Mar 25, 2026Updated 6 months ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆11Oct 9, 2024Updated 2 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 7 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆28Mar 15, 2022Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 6 years ago
- ☆12Jul 17, 2023Updated 3 years ago
- Guarantees on the behavior of neural networks don't always have to come at the cost of performance.☆30Oct 12, 2022Updated 3 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆37Sep 19, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Apr 28, 2022Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- Scalable Multitask Representation Learning for Scene Classification☆12Jun 10, 2014Updated 12 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆10Sep 7, 2017Updated 9 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆17Jun 1, 2021Updated 5 years ago
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Sep 3, 2019Updated 7 years ago