eth-sri / adaptive-auto-attackLinks
☆23Updated 3 years ago
Alternatives and similar repositories for adaptive-auto-attack
Users that are interested in adaptive-auto-attack are comparing it to the libraries listed below
Sorting:
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Updated 5 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆41Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆24Updated 3 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Updated 3 years ago
- ☆22Updated 4 years ago
- ☆66Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago
- ☆157Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- ☆23Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Updated 3 years ago
- ☆60Updated 3 years ago
- ☆86Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆126Updated 2 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- ☆41Updated last year
- ☆41Updated 2 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆43Updated 2 years ago
- ☆53Updated 2 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 4 years ago