2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
EMNLP 2025
Many works at the intersection of Differential Privacy (DP) in Natural Language Processing aim to protect privacy by transforming texts under DP guarantees. This can be performed in a variety of ways, from word perturbations to full document rewriting, and most often under *local* DP. Here, an input