The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
In this paper, we present a mandatory access control system that uses input from multiple stakeholders to compose policies based on runtime information. In the emerging ubiquitous...
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
Joseph L. Greathouse, Ilya Wagner, David A. Ramos,...
—Accelerators are special purpose processors designed to speed up compute-intensive sections of applications. Two extreme endpoints in the spectrum of possible accelerators are F...
Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadr...