CVPR'19 experiments with (on-manifold) adversarial examples.
☆43Feb 27, 2020Updated 6 years ago
Alternatives and similar repositories for disentangling-robustness-generalization
Users that are interested in disentangling-robustness-generalization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Oct 28, 2019Updated 6 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Mar 17, 2021Updated 5 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.
- Generative Adversarial Perturbations (CVPR 2018)☆138Dec 16, 2020Updated 5 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88May 17, 2021Updated 5 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆164Mar 19, 2020Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 7 months ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 6 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Jan 18, 2022Updated 4 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆47Nov 6, 2022Updated 3 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.
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Dec 2, 2018Updated 7 years ago
- ☆10Oct 28, 2020Updated 5 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- First-Order Adversarial Vulnerability of Neural Networks and Input Dimension☆16Sep 4, 2019Updated 6 years ago
- ☆35Dec 9, 2020Updated 5 years ago
- Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".☆10Feb 6, 2024Updated 2 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Dec 23, 2020Updated 5 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 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.
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 7 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆32Aug 14, 2020Updated 6 years ago
- This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…☆32Aug 14, 2018Updated 8 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆763May 3, 2022Updated 4 years ago
- Official repository for "Stylized Adversarial Training" (TPAMI 2022)☆11Dec 30, 2022Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆40Oct 3, 2023Updated 2 years ago
- This repository contains video datasets that can be used for training coarse to fine-grained (phase, step and action) temporal classifica…☆16Oct 26, 2021Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 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.
- Learning perturbation sets for robust machine learning☆66Aug 23, 2021Updated 4 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Jan 11, 2024Updated 2 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Jul 13, 2020Updated 6 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Sep 4, 2022Updated 3 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Aug 14, 2023Updated 3 years ago