What if your privacy tools could learn as they go?

A new academic study proposes a way to design privacy mechanisms that can make use of prior knowledge about how data is distributed, even when that information is incomplete. The method allows privacy guarantees to stay mathematically sound while improving how much useful information can be shared. Researchers from KTH Royal Institute of Technology in Sweden and Inria Saclay in France developed the framework using a measure called pointwise maximal leakage, or PML. Their approach … More

The post What if your privacy tools could learn as they go? appeared first on Help Net Security.

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our Newsletter