lionelmessi6410 / ntgaLinks
Code for "Neural Tangent Generalization Attacks" (ICML 2021)
☆41Updated 4 years ago
Alternatives and similar repositories for ntga
Users that are interested in ntga are comparing it to the libraries listed below
Sorting:
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- ☆158Updated 4 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 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
- A Self-Consistent Robust Error (ICML 2022)☆68Updated 2 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- A unified benchmark problem for data poisoning attacks☆156Updated 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
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- ☆65Updated last year
- ☆52Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- Craft poisoned data using MetaPoison☆52Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- ☆23Updated last year
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 3 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆25Updated 5 years ago
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago