QuanText: Protecting Dataset-Level Secrets in Textual Data Sharing
Natural-language datasets support many downstream applications and research studies, but releasing text can reveal sensitive global properties of the underlying data source, such as the proportion of records associated with a particular gender, diagnosis, or political stance. Existing work has largely focused on proper...
Shuai-Qi Wang, Zinan Lin, Giulia Fanti
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