Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
We provide a simple protocol for secret reconstruction in any threshold secret sharing scheme, and prove that it is fair when executed with many rational parties together with a s...
Shien Jin Ong, David C. Parkes, Alon Rosen, Salil ...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Fusion is a web-based system that enables end-users to rapidly and dynamically construct personalized visualization workspaces without programming. Users first use advanced data s...
Chris North, Nathan Conklin, Kiran Indukuri, Varun...
We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack...
Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan K...