jiamingzhang94 / Adversarial-Prompt-TuningLinks
ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
☆30Updated last year
Alternatives and similar repositories for Adversarial-Prompt-Tuning
Users that are interested in Adversarial-Prompt-Tuning are comparing it to the libraries listed below
Sorting:
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆57Updated last year
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated last year
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆38Updated 9 months ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆73Updated 3 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- [ICCV 2023] Towards Building More Robust Models with Frequency Bias☆19Updated last year
- ☆45Updated 2 years ago
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…☆34Updated 7 months ago
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆39Updated 8 months ago
- [CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks☆29Updated 7 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆154Updated 8 months ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated 2 years ago
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆24Updated 3 years ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆13Updated 2 years ago
- ☆19Updated 2 years ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆60Updated last year
- ☆14Updated last year
- [ICCVW 2025 (Oral)] Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models☆28Updated 3 months ago
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆20Updated 2 years ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆24Updated 2 years ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- ☆28Updated 2 years ago
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆38Updated last year
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning☆21Updated 5 months ago
- ☆47Updated last year
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆19Updated 2 years ago
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆16Updated 10 months ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆66Updated 10 months ago