TomSheng21 / AdaptGuardLinks
ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation
☆11Updated 2 years ago
Alternatives and similar repositories for AdaptGuard
Users that are interested in AdaptGuard are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models☆31Updated 3 months ago
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning☆19Updated 5 months ago
- ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"☆18Updated last year
- Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"☆19Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- ☆14Updated 2 years ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆31Updated last year
- The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"☆18Updated 7 months ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆85Updated last year
- The download methods of Vision-language Continual Pretraining Dataset P9D.☆12Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆29Updated last year
- ☆45Updated 2 years ago
- ☆71Updated 2 years ago
- A collection of model transferability estimation methods.☆32Updated last year
- NN 2023☆23Updated 3 years ago
- [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"☆13Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Updated 11 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆38Updated last year
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆17Updated last year
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆23Updated last year
- ☆10Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆96Updated 2 years ago
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆39Updated 7 months ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆204Updated 3 years ago
- ☆89Updated 3 years ago
- ☆64Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 10 months ago