Sxing2 / CLIP-Test-time-CounterattacksLinks
[CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP
☆33Updated 4 months ago
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
Sorting:
- Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"☆19Updated last year
- ☆43Updated 2 years ago
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning☆16Updated 2 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆56Updated 10 months ago
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆65Updated 2 years ago
- The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"☆17Updated 4 months ago
- [ICCVW 2025 (Oral)] Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models☆26Updated last week
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆28Updated 11 months ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆22Updated 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
- ☆78Updated last year
- ☆29Updated last year
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation☆11Updated last year
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…☆27Updated 3 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆147Updated 4 months ago
- [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models☆20Updated last week
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆37Updated 6 months ago
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment☆24Updated 4 months ago
- ☆27Updated 2 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- (NeurIPS 2024)Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models☆14Updated 3 months ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆38Updated last year
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆58Updated 7 months ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆14Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆75Updated 8 months ago
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆49Updated 11 months ago
- [NAACL 2025 Main] Official Implementation of MLLMU-Bench☆38Updated 7 months ago
- ☆20Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆28Updated last year
- Universal Adversarial Perturbations for Vision-Language Pre-trained Models☆22Updated 2 months ago