Style Transfer in Text - Exploration and Evaluation
This paper explores text style transfer (TST) using non-parallel data, introducing new evaluation metrics for transfer strength and content preservation.
NLP
Text Style Transfer - A Review and Experimental Evaluation
A comprehensive review of text style transfer (TST) techniques, their evaluation, and benchmarking results across various datasets.
Membership Inference Attacks Against NLP Classification Models
A comprehensive analysis of privacy risks in NLP classification models, focusing on membership inference attacks (MIAs) at both sample and user levels.