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EUROCRYPT
2004
Springer
14 years 3 months ago
Positive Results and Techniques for Obfuscation
Informally, an obfuscator O is an efficient, probabilistic “compiler” that transforms a program P into a new program O(P) with the same functionality as P, but such that O(P)...
Ben Lynn, Manoj Prabhakaran, Amit Sahai
PATAT
2004
Springer
130views Education» more  PATAT 2004»
14 years 3 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
SBIA
2004
Springer
14 years 3 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 3 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
AUSAI
2003
Springer
14 years 3 months ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert