AlignDP: Novel Hybrid Differential Privacy for Enhanced LLM Protection

The ArXiv paper likely introduces a novel approach to protect Large Language Models (LLMs) by combining differential privacy techniques with rarity-aware protection. This research focuses on the intersection of AI and privacy, indicating a step towards more secure and responsible AI development.

• •Focuses on differential privacy to protect LLMs.
• •Employs a hybrid approach, suggesting a combination of existing techniques.
• •Incorporates 'rarity-aware protection,' indicating a consideration for unusual data points or patterns.