Imperial privacy experts have created an AI algorithm that automatically tests privacy-preserving systems for potential data leaks.
This is the first time AI has been used to automatically discover vulnerabilities in this type of system, examples of which are used by Google Maps and Facebook.
The experts, from Imperial’s Computational Privacy Group, looked at attacks on query-based systems (QBS)—controlled interfaces through which analysts can query data to extract useful aggregate information about the world. They then developed a new AI-enabled method called QuerySnout to detect attacks on QBS.
QBS give analysts access to collections of statistics gathered from individual-level data like location and demographics...
Read More
Recent Comments