OPTML-Group / Fast-BAT
[ICML22] "Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-level Optimization" by Yihua Zhang*, Guanhua Zhang*, Prashant Khanduri, Mingyi Hong, Shiyu Chang, and Sijia Liu
☆65Updated 2 years ago
Alternatives and similar repositories for Fast-BAT:
Users that are interested in Fast-BAT are comparing it to the libraries listed below
- [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"☆34Updated last year
- ☆58Updated last year
- [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"☆67Updated 2 years ago
- [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…☆117Updated last year
- Improving fast adversarial training with prior-guided knowledge (TPAMI2024)☆41Updated 11 months ago
- ☆63Updated 3 weeks ago
- Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack☆33Updated 4 months ago
- A comprehensive collection of resources focused on addressing and understanding hallucination phenomena in MLLMs.☆35Updated 10 months ago
- [NeurIPS 2024] GuardT2I: Defending Text-to-Image Models from Adversarial Prompts☆20Updated 4 months ago
- [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"☆96Updated 2 years ago
- Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)☆34Updated 9 months ago
- ☆35Updated 2 months ago
- [NDSS'24] Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time☆56Updated 6 months ago
- CVPR 2022 Workshop Robust Classification☆78Updated 2 years ago
- Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).☆19Updated 2 years ago
- [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution☆73Updated 2 years ago
- Deep Learning - Robustness - Immune System☆14Updated 3 years ago
- A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"☆99Updated last year
- ☆110Updated 3 weeks ago
- BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation☆37Updated last year
- Improved techniques for optimization-based jailbreaking on large language models (ICLR2025)☆91Updated 2 months ago
- Practical Detection of Trojan Neural Networks☆119Updated 4 years ago
- ☆31Updated 6 months ago
- ☆46Updated 5 months ago
- Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 202…☆10Updated last year
- Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model☆34Updated last month
- ☆73Updated last month
- The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)☆25Updated 2 years ago
- [AISTATS2021] Official implementation of "Sample Elicitation"☆29Updated 3 years ago
- [ICLR 2025] Improving Data Efficiency via Curating LLM-Driven Rating Systems☆49Updated last week