Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Abstract—Test coverage such as branch coverage is commonly measured to assess the sufficiency of test inputs. To reduce tedious manual efforts in generating high-covering test i...
Nuo Li, Tao Xie, Nikolai Tillmann, Jonathan de Hal...
Attackers often take advantage of vulnerabilities in benign software, and the authors of benign software must search their code for bugs in hopes of finding vulnerabilities before...
Juan Caballero, Pongsin Poosankam, Stephen McCaman...
Processor emulators are widely used to provide isolation and instrumentation of binary software. However they have proved difficult to implement correctly: processor specificati...
Lorenzo Martignoni, Stephen McCamant, Pongsin Poos...