Reidentification of Participants in Shared Clinical Data Sets: Experimental Study.
Daniela WiepertBradley A MalinJoseph R DuffyRene L UtianskiJohn L StrickerDavid T JonesHugo BothaPublished in: JMIR AI (2024)
Our findings suggest that speaker identification models can be used to reidentify participants in specific circumstances, but in practice, the reidentification risk appears small. The variation in risk due to search space size and type of speech task provides actionable recommendations to further increase participant privacy and considerations for policy regarding public release of speech recordings.