Investigating Privacy Preservation of Language Models in Legal Text Summarization

Puntos clave

• The research aims to explore effective privacy preservation techniques for language models used in legal text summarization.
• Employs various privacy preservation strategies in language models.
• Evaluates effectiveness in summarizing legal documents.
• Analyzes data security implications on legal text summarization.
• Demonstrated improved privacy preservation with specific techniques.
• Found that some methods significantly enhance data security in summarizations.
• Indicated a balance between summarization quality and privacy preservation.