We consider several closely related variants of PAC-learning in which false-positive and false-negative errors are treated differently. In these models we seek to guarantee a given, low rate of false-positive errors and as few false-negative errors as possible given that we meet the false-positive constraint. Bshouty and Burroughs first observed ... more >>>

We study connections between two fundamental questions from computer science theory. (1) Is witness encryption in the sense of Garg et al. (2013) possible for NP? That is, given an instance $x$ of an NP-complete language $L$, can one encrypt a secret message with security contingent on the ability to ... more >>>