Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
We propose the "ninja cursor" to improve the performance of target acquisition, particularly on large screens. This technique uses multiple distributed cursors to reduce...
d Abstract) Ran Canetti Yehuda Lindell Rafail Ostrovsky Amit Sahai? We show how to securely realize any multi-party functionality in a universally composable way, regardless of th...
Ran Canetti, Yehuda Lindell, Rafail Ostrovsky, Ami...