Measures of dependence among several random vectors and associated tests of independence play a major role in different statistical applications. First, we consider the problem of measuring dependence among several random ...

Classification of objects is a basic chore of machine intelligence. Over the years, a number of classifiers from different genres have been developed by the machine learning community. To increase the pertinence of machine ...

Abstract: A symmetric-key cryptographic scheme is deemed to be provably secure if one can formally argue that it is secure given the hardness of some underlying computational problem. This thesis is a study of the provable ...