ZFancy / IADLinks
[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
☆22Updated 3 years ago
Alternatives and similar repositories for IAD
Users that are interested in IAD are comparing it to the libraries listed below
Sorting:
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- ☆54Updated 4 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Updated 5 years ago
- ☆20Updated 9 months ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Updated last year
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 5 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆46Updated 4 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆145Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated last month
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆16Updated 3 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆33Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆48Updated 3 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆32Updated 2 years ago
- ☆31Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆37Updated 7 months ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 2 years ago
- Code for Transferable Unlearnable Examples☆23Updated 2 years ago
- ☆58Updated 3 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆52Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 3 years ago
- ☆35Updated 2 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆46Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago