thu-ml / adversarial_training_imagenetLinks
☆11Updated 2 years ago
Alternatives and similar repositories for adversarial_training_imagenet
Users that are interested in adversarial_training_imagenet are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 8 months ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆142Updated 2 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆57Updated 3 years ago
- Revisiting Transferable Adversarial Images (arXiv)☆125Updated 5 months ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- ☆76Updated last year
- ☆43Updated 2 years ago
- ☆13Updated 2 weeks ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.☆220Updated 9 months ago
- ☆112Updated 2 months ago
- [CVPR 2022 oral] Subspace Adversarial Training☆27Updated 2 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- ☆60Updated 2 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆79Updated 5 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆88Updated last year
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆25Updated 5 years ago
- [NeurIPS-2023] Annual Conference on Neural Information Processing Systems☆209Updated 7 months ago
- A curated list of papers for the transferability of adversarial examples☆73Updated last year
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆38Updated 9 months ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆109Updated 3 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆43Updated 2 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆168Updated last year
- ☆58Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆26Updated last year