We present the first type and effect system for proving authenticity properties of security protocols based on asymmetric cryptography. The most significant new features of our ...
One trend in day-to-day computing involves moving seamlessly from large powerful workstations to small handheld devices. A second trend is continuous collaboration with colleagues...
Ivan Marsic, Allan Meng Krebs, Bogdan Dorohonceanu...
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
Many emerging processor microarchitectures seek to manage technological constraints (e.g., wire delay, power, and circuit complexity) by resorting to nonuniform designs that provi...
We designed and built the Gates Hillman Prediction Market (GHPM) to predict the opening day of the Gates and Hillman Centers, the new computer science buildings at Carnegie Mellon...