Alternatives and similar repositories for AdaptGuard

Users that are interested in AdaptGuard are comparing it to the libraries listed below

• TomSheng21 / tta-vlm
  [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
  ☆24Updated 3 weeks ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated 2 years ago
• TomSheng21 / R-TPT
  CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
  ☆16Updated 2 months ago
• mrflogs / CraFT
  Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"
  ☆19Updated last year
• tim-learn / UEO
  ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"
  ☆18Updated last year
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• yuyongcan / STAMP
  The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"
  ☆18Updated 5 months ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• zhangmarvin / memo
  ☆69Updated 2 years ago
• zhuohuangai / SharpDRO
  Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
  ☆13Updated 2 years ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆85Updated last year
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆31Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆28Updated last year
• YuheD / ProxyMix
  NN 2023
  ☆23Updated 3 years ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆68Updated 2 years ago
• ml-stat-Sustech / CLIP_Calibration
  [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
  ☆16Updated last year
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆28Updated last year
• jkatzsam / woods_ood
  ☆16Updated 3 years ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆56Updated 11 months ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 9 months ago
• justincui03 / dc_benchmark
  ☆88Updated 2 years ago
• uiuctml / GOAT
  [JMLR] Gradual Domain Adaptation: Theory and Algorithms
  ☆11Updated 10 months ago
• tmlr-group / SCT
  [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"
  ☆14Updated last year
• vinusankars / Convolution-based-Unlearnability
  ☆19Updated 2 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆23Updated last year
• Sxing2 / CLIP-Test-time-Counterattacks
  [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP
  ☆34Updated 5 months ago
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆46Updated 3 years ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year