neu-spiral / HBaRLinks
☆22Updated 3 years ago
Alternatives and similar repositories for HBaR
Users that are interested in HBaR are comparing it to the libraries listed below
Sorting:
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 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
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- ☆49Updated 2 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆49Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- A method based on manifold regularization for training adversarially robust neural networks☆9Updated 5 years ago
- ☆44Updated 3 months ago
- ☆35Updated 4 years ago
- Code for Adversarial Example Games NeurIPS 2020 Paper☆26Updated 7 months ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 7 months ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Updated 5 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- Implemented CURE algorithm from robustness via curvature regularization and vice versa☆31Updated 2 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- Implementation of Contrastive Learning with Adversarial Examples☆29Updated 4 years ago