Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
In this paper, we address issues related to flow correlation attacks and the corresponding countermeasures in mix networks. Mixes have been used in many anonymous communication s...
Ye Zhu, Xinwen Fu, Bryan Graham, Riccardo Bettati,...
The new design for the introductory programming course at ETH relies on object technology, Eiffel, extensive reuse, a graphics-rich library (TRAFFIC) built specifically for the c...
We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
Abstract. Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles an...
Sebastian Faust, Tal Rabin, Leonid Reyzin, Eran Tr...