Instruction-set randomization (ISR) is a technique based on randomizing the "language" understood by a system to protect it from code-injection attacks. Such attacks wer...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
The Steel Mill Slab Problem is an optimization benchmark that has been studied for a long time in the constraint-programming community but was only solved efficiently in the two l...
Pierre Schaus, Pascal Van Hentenryck, Jean-Noë...
Building on research previously reported at AAMAS conferences, this paper describes an innovative application of a novel gametheoretic approach for a national scale security deplo...
James Pita, Milind Tambe, Christopher Kiekintveld,...