Our world is increasingly data-driven. The growth and value of data continue to exceed all predictions. Potential for business opportunity, economic growth, scientific discovery, ...
In this paper, we propose ColorSafe, an architecture that detects and dynamically avoids single- and multi-variable atomicity violation bugs. The key idea is to group related data...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...
More and more parallel applications are running in a distributed environment to take advantage of easily available and inexpensive commodity resources. For data intensive applicat...