Announcement_7

Excited to share our work on “Little Data, Big Impact: Privacy-Aware Visual Language Models via Minimal Tuning”! We introduce PrivBench and PrivTune, showing that VLM privacy-awareness can be dramatically improved with just 100 training samples, surpassing GPT-4 performance. Read on arXiv →