Zihan You

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models

2025 · arXiv (Cornell University)

Differential Privacy (DP) is a widely adopted technique, valued for its effectiveness in protecting the privacy of task-specific datasets, making it a critical tool for large language models. However, its effectiveness in Multimodal Large Language …