☆24Jan 26, 2021Updated 5 years ago
Alternatives and similar repositories for Learn2Perturb
Users that are interested in Learn2Perturb are comparing it to the libraries listed below
Sorting:
- pytorch implementation of Parametric Noise Injection for adversarial defense☆46Oct 23, 2019Updated 6 years ago
- CVPR 2019 Paper——Feature Space Perturbations Yield More Transferable Adversarial Examples re-implementation.☆12Dec 29, 2021Updated 4 years ago
- Code for "Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions"☆14Sep 3, 2023Updated 2 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Mar 25, 2023Updated 2 years ago
- ☆13Nov 10, 2019Updated 6 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Oct 24, 2019Updated 6 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Aug 3, 2020Updated 5 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Dec 11, 2020Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆101Apr 30, 2021Updated 4 years ago
- Synthesized Rain dataset☆26Oct 11, 2023Updated 2 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆27Jun 30, 2020Updated 5 years ago
- ☆26Dec 23, 2021Updated 4 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆111Aug 4, 2023Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆406May 20, 2019Updated 6 years ago
- This project is the PyTorch implementation of our CVPR 2022 paper:☆27Jul 4, 2022Updated 3 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆64Jul 7, 2021Updated 4 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆189Feb 18, 2021Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆29Dec 7, 2024Updated last year
- [CVPR 2022 oral] Subspace Adversarial Training☆28Apr 27, 2023Updated 2 years ago
- ☆38Feb 8, 2024Updated 2 years ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆35Jul 23, 2022Updated 3 years ago
- ☆37Jul 3, 2024Updated last year
- Teeth Segmentation☆11Apr 14, 2024Updated last year
- ☆12May 6, 2022Updated 3 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Jul 25, 2024Updated last year
- Feature Scattering Adversarial Training (NeurIPS19)☆74Jun 1, 2024Updated last year
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆86Jun 9, 2022Updated 3 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆80Oct 24, 2019Updated 6 years ago
- Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks.☆11Apr 9, 2024Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 3 years ago
- Optimized MDNet for fast object tracking☆10Apr 10, 2019Updated 6 years ago
- Code/Models for Defending Against Universal Attacks Through Selective Feature Regeneration, CVPR 2020☆10Jul 31, 2020Updated 5 years ago
- ☆10Aug 9, 2023Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago