Alternatives and similar repositories for CLIP-Test-time-Counterattacks:

Users that are interested in CLIP-Test-time-Counterattacks are comparing it to the libraries listed below

• yuyongcan / STAMP
  The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"
  ☆18Updated 6 months ago
• Muzammal-Naseer / DCViT-AT
  Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)
  ☆19Updated last year
• tdemin16 / Continual-LayerNorm-Tuning
  Official Repository of "On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers" (Visual Continual Learnin…
  ☆8Updated last year
• 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 last year
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆46Updated 3 months ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆40Updated last year
• elaine-sui / TPS
  ☆16Updated 5 months ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆41Updated 2 weeks ago
• jiamingzhang94 / Adversarial-Prompt-Tuning
  ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
  ☆24Updated 4 months ago
• HashmatShadab / APR
  (BMVC 2022--Oral) Official repository for "Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations" …
  ☆34Updated 2 years ago
• HashmatShadab / Robust-LLaVA
  Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
  ☆18Updated last month
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆62Updated 2 months ago
• fahadshamshad / deep-facial-privacy-prior
  [ECCVW 2024] Official repository of paper titled "Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors".
  ☆12Updated 5 months ago
• TomSheng21 / AdaptGuard
  ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation
  ☆11Updated last year
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆33Updated 4 months ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆39Updated 10 months ago
• sangminwoo / RITUAL
  Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…
  ☆10Updated 3 months ago
• WisconsinAIVision / RISE
  Domain Generalization through Distilling CLIP with Language Guidance
  ☆28Updated last year
• HashmatShadab / MambaRobustness
  Towards Evaluating the Robustness of Visual State Space Models
  ☆24Updated 6 months ago
• Jhyun17 / DeYO
  ☆17Updated 10 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆36Updated 2 weeks ago
• tmllab / 2024_ICML_DICL
  ☆17Updated 10 months ago
• nhussein / promptsmooth
  Official implementation of the paper "PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning"
  ☆19Updated this week
• mrflogs / CraFT
  Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"
  ☆17Updated 9 months ago
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆20Updated 6 months ago
• Cyang-Zhao / Grad-Eclip
  ☆30Updated 3 months ago
• yuyongcan / Benchmark-TTA
  ☆56Updated 11 months ago
• Bala93 / CLIPCalib
  Model calibration in CLIP Adapters
  ☆15Updated 7 months ago
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆22Updated 5 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆79Updated 8 months ago