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KDD Cup 2010 is an educational data mining competition. Participants are asked to learn a model from students' past behavior and then predict their future performance. At National Taiwan University, we organized a course for KDD Cup 2010. Most student sub-teams expanded features by various binarization and discretization techniques. The resulting sparse(More)
Cryptographic distinguishing attacks, in which the attacker is able to extract enough "information" from an encrypted message to distinguish it from a piece of random data, allow for powerful cryptanalysis both in theory and in practice. In this paper, we report our experience of applying state-of-the-art machine learning techniques to launch cryptographic(More)
This paper proposes a novel unsupervised learning approach for Power Analysis – a form of side channel attack in Cryptanalysis. Different from existing works that exploit supervised learning framework to solve this problem , our method does not require any labeled pairs which contains {X,Y}={key, power-trace} information, but is still capable of deciphering(More)
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