fra31 / evaluating-adaptive-test-time-defenses
☆22Updated last year
Alternatives and similar repositories for evaluating-adaptive-test-time-defenses:
Users that are interested in evaluating-adaptive-test-time-defenses are comparing it to the libraries listed below
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- ☆22Updated 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
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 4 months ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆25Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 5 months ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆24Updated 4 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated 10 months ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆96Updated 3 years ago
- ☆53Updated last year
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 3 years ago
- ☆51Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆26Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- Code and experiments for the adversarial detection paper☆21Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago