Papers with privacy-preserving applications
Vision Language Model Helps Private Information De-Identification in Vision Data (2025.findings-acl)
Copied to clipboard
| Challenge: | Visual Language Models (VLMs) have gained popularity due to their ability to solve imagerelated tasks. |
| Approach: | They propose a framework to enhance privacy awareness of visual language models . they use a specialized instruction-tuning dataset and a tailored training methodology . |
| Outcome: | The proposed framework outperforms existing approaches in handling private information. |