Stealth PANTHEON Team Member Announces New Result on Voting Privacy at Uncertainty in Artificial Intelligence ’20
As part of the PANTHEON project, team member Vassilis Zikas (University of Edinburgh), in collaboration with Ao Liu (Rensselaer Polytechnic Institute), Yun Lu (RPI), and Lirong Xia (RPI), presented their work on “How Private Are Commonly-Used Voting Rules?” at the 36th Conference on Uncertainty in Artificial Intelligence. A link to the corresponding publication (in the conference proceedings) can be found here.