This paper introduces a new set of long duration captures of Internet traffic headers. The capture is being performed on a continuous on-going basis and is approaching a year in d...
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Testing is a difficult process that becomes more difficult with scaling. With smaller and faster devices, tolerance for errors shrinks and devices may act correctly under certain ...
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...