Spiking genomic databases with misinformation could protect patient privacy – Nature


Large genomic databases are indispensable for scientists looking for genetic variations associated with diseases. But they come with privacy risks for people who contribute their DNA. To address those concerns, a system developed by Bonnie Berger and Sean Simmons, computer scientists at MIT, masks the donor’s identity by adding a small amount of noise, or random variation, to the results it returns on a user’s query.