A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off

arXiv:2404.03324v1 Announce Type: new
Abstract: The application of Differential Privacy to Natural Language Processing techniques has emerged in relevance in recent years, with an increasing number of studies published in established NLP outlets. In particular, the adaptation of Differential Privacy for use in NLP tasks has first focused on the $\textit{word-level}$, where calibrated noise is added to word embedding vectors to achieve "noisy" representations. To this end, several implementations have appeared in the literature, each presenting an alternative method of …

abstract analysis application arxiv benchmarking comparative analysis cs.cl differential differential privacy language language processing natural natural language natural language processing nlp privacy processing studies tasks trade trade-off type utility word