DequanWang / dentLinks
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
☆39Updated 4 years ago
Alternatives and similar repositories for dent
Users that are interested in dent are comparing it to the libraries listed below
Sorting:
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆44Updated 3 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 5 months ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆32Updated 3 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- ☆22Updated 3 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- ☆58Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆25Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated 11 months ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- ☆35Updated 4 years ago
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆12Updated 2 years ago
- ☆29Updated 3 years ago
- ☆16Updated 5 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- ☆13Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago