[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
☆22Feb 20, 2022Updated 4 years ago
Alternatives and similar repositories for IAD
Users that are interested in IAD are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 6 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- The Code of ECCV2022:Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation☆36Oct 23, 2025Updated 4 months ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 4 years ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34May 26, 2023Updated 2 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Met…☆12Mar 3, 2022Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 2 months ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 2 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25May 2, 2023Updated 2 years ago
- Not All Poisons are Created Equal: Robust Training against Data Poisoning (ICML 2022)☆22Aug 8, 2022Updated 3 years ago
- [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization☆24May 14, 2025Updated 9 months ago
- ☆21Jun 6, 2024Updated last year
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Dec 30, 2021Updated 4 years ago
- Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective☆19Jun 7, 2024Updated last year
- ☆24Jun 28, 2023Updated 2 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Mar 4, 2022Updated 3 years ago
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 2 years ago
- [ICLR 2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆51Feb 4, 2026Updated 3 weeks ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Dec 30, 2021Updated 4 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆146Jul 31, 2023Updated 2 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Apr 28, 2022Updated 3 years ago
- Pytorch implementation of TDPM☆37Feb 26, 2023Updated 3 years ago
- ☆12May 6, 2022Updated 3 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Dec 29, 2021Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Dec 9, 2024Updated last year
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆739May 16, 2024Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Dec 6, 2021Updated 4 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Mar 27, 2024Updated last year
- ☆16Jan 26, 2025Updated last year
- python RobustRMC projects☆10Apr 22, 2024Updated last year
- Code for experiments on self-prediction as a way to measure introspection in LLMs☆16Dec 10, 2024Updated last year
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- MemRec☆37Jan 16, 2026Updated last month