OPTML-Group / Fast-BATLinks
[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
☆64Updated 3 years ago
Alternatives and similar repositories for Fast-BAT
Users that are interested in Fast-BAT are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"☆33Updated last year
- [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…☆117Updated 2 years ago
- ☆58Updated 2 years ago
- [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"☆67Updated 2 years ago
- ACL 2025 (Main) HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States☆151Updated 6 months ago
- Improving fast adversarial training with prior-guided knowledge (TPAMI2024)☆43Updated last year
- CVPR 2022 Workshop Robust Classification☆79Updated 3 years ago
- Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)☆36Updated last year
- Deep Learning - Robustness - Immune System☆13Updated 4 years ago
- Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack(TPAMI 2025)☆42Updated 3 months ago
- Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).☆19Updated 3 years ago
- [ICLR 2025] Official implementation of paper "Improving Data Efficiency via Curating LLM-Driven Rating Systems"☆100Updated 8 months ago
- [NDSS'24] Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time☆57Updated last year
- ☆82Updated 6 months ago
- A comprehensive collection of resources focused on addressing and understanding hallucination phenomena in MLLMs.☆35Updated last year
- [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"☆98Updated 3 years ago
- [ICPR'24 Oral] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery☆42Updated last year
- ☆51Updated last year
- [ACL 2023 findings] Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization☆17Updated 2 years ago
- The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)☆29Updated 8 months ago
- ACL 2024☆35Updated 4 months ago
- [AISTATS2021] Official implementation of "Sample Elicitation"☆29Updated 4 years ago
- A curated list of awesome papers on the platonic representation hypothesis.☆44Updated 8 months ago
- Practical Detection of Trojan Neural Networks☆121Updated 5 years ago
- The official code repo for "Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets" in ICML 2025.☆56Updated 5 months ago
- A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"☆96Updated 2 years ago
- Code for ACL 2024 long paper: Are AI-Generated Text Detectors Robust to Adversarial Perturbations?☆32Updated last year
- PyTorch Implementation of ECCV 2022 paper: "DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training".☆39Updated 3 years ago
- [NAACL 2025] SIUO: Cross-Modality Safety Alignment☆123Updated 10 months ago
- (Pattern Recognition 2025) Towards Trustworthy Dataset Distillation☆14Updated last year