We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
Existing spreadsheet systems allow users to change cells arbitrarily, which is a major source of spreadsheet errors. We propose a system that prevents errors in spreadsheets by re...
Martin Erwig, Robin Abraham, Irene Cooperstein, St...
The Mobile Agent Intrusion Detection System (MAIDS) is an agent based distributed Intrusion Detection System (IDS). A disciplined requirement engineering process is developed to b...
Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Gu...
In this paper, we propose an approach for detecting signs from natural scenes. The approach efficiently embeds multiresolution, adaptive search, and affine rectification algorithm...
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...