We present a new method for dynamically detecting potential data races in multithreaded programs. Our method improves on the state of the art in accuracy, in usability, and in ove...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
In this paper we propose a communication-centric approach to specifying and checking how multithreaded programs use shared memory to perform inter-thread communication. Our approa...
Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan G...
To query XML data over the Web, query engines need to be able to resolve semantic differences between heterogeneous attributes that are conceptually similar. This demo presents a ...
Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...
In the setting of identity-based encryption with multiple trusted authorities, TA anonymity formally models the inability of an adversary to distinguish two ciphertexts correspondi...