Jie-Ren / A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness
The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.
☆22Updated 2 years ago
Alternatives and similar repositories for A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness:
Users that are interested in A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness are comparing it to the libraries listed below
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆22Updated 2 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Updated 4 years ago
- The code for NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels (TMLR 22 accept)☆9Updated 2 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆36Updated 2 months ago
- ☆29Updated 2 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 2 years ago
- ☆13Updated 4 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.☆17Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- ☆35Updated 4 years ago
- ☆22Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- ☆48Updated 2 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆23Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆55Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆24Updated 4 years ago
- A Self-Consistent Robust Error (ICML 2022)☆67Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated last year