We describe Instruction-Set Randomization (ISR), a general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoffs' principle to creat...
Stephen W. Boyd, Gaurav S. Kc, Michael E. Locasto,...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Software systems are increasingly being built as compositions of reusable artifacts (components, frameworks, toolkits, plug-ins, APIs, etc) that have non-trivial usage constraints...