Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
☆29Jun 27, 2022Updated 3 years ago
Alternatives and similar repositories for catastrophic-overfitting
Users that are interested in catastrophic-overfitting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- ☆14Oct 16, 2021Updated 4 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Aug 22, 2023Updated 2 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆16Apr 1, 2021Updated 5 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Oct 17, 2018Updated 7 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆24Dec 26, 2019Updated 6 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆26Dec 23, 2020Updated 5 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Oct 12, 2021Updated 4 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆16Feb 15, 2022Updated 4 years ago
- Code for AAAI 2021 "Towards Feature Space Adversarial Attack".☆30Aug 24, 2021Updated 4 years ago
- PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)☆13Mar 20, 2022Updated 4 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆32Apr 28, 2022Updated 4 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Apr 21, 2024Updated 2 years ago
- GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification☆15Mar 25, 2023Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- [ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models☆21Jul 17, 2024Updated last year
- A general method for training cost-sensitive robust classifier☆22May 29, 2019Updated 6 years ago
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Sep 4, 2019Updated 6 years ago
- This repository contains the code for Characterizing the Decision Boundary of Deep Neural Networks☆25Sep 22, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆24Nov 11, 2024Updated last year
- ☆19Mar 5, 2018Updated 8 years ago
- ☆11Sep 3, 2020Updated 5 years ago
- ESEC/FSE'21: Prediction-Preserving Program Simplification☆10Oct 4, 2022Updated 3 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆27Jun 30, 2020Updated 5 years ago
- ☆13Jul 25, 2024Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆17Mar 29, 2023Updated 3 years ago
- Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.☆24Aug 30, 2021Updated 4 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 7 years ago
- 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.
- Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhita…☆11Sep 8, 2022Updated 3 years ago
- Tensorflow Implementation of adversarial learning based adversarial example generator☆10Jan 31, 2018Updated 8 years ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆25May 29, 2024Updated last year
- Resources for starting the Machine learning and Deep learning.☆10Dec 29, 2020Updated 5 years ago
- Code for Adversarial Example Games NeurIPS 2020 Paper☆27Nov 27, 2024Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training☆46Feb 1, 2022Updated 4 years ago