QizhouWang / MAIL
source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training
☆10Updated 2 years ago
Alternatives and similar repositories for MAIL:
Users that are interested in MAIL are comparing it to the libraries listed below
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 4 years ago
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆14Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- ☆11Updated 2 months ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- ☆11Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆12Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".☆9Updated 2 years ago
- ☆20Updated last month
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 4 months ago
- [CVPR 2022 oral] Subspace Adversarial Training☆26Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆40Updated 3 years ago
- ☆26Updated 2 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆13Updated 2 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆19Updated 4 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆10Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ☆16Updated 2 years ago
- SEAT☆20Updated last year
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- ☆11Updated 2 years ago