Using perceptual and cognitive explanations for enhanced human-agent team performance

A framework for secure computations with two non-colluding servers and multiple clients, applied to recommendations

We provide a generic framework that, with the help of a preprocessing phase that is independent of the inputs of the users, allows an arbitrary number of users to securely outsource a computation to two non-colluding external servers. Our approach is shown to be provably secure in an adversarial model where one of the servers may arbitrarily...