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» Machine Learning in Infrastructure Security
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KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 7 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 7 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
FOCS
2007
IEEE
14 years 1 months ago
Intrusion-Resilient Secret Sharing
We introduce a new primitive called Intrusion-Resilient Secret Sharing (IRSS), whose security proof exploits the fact that there exist functions which can be efficiently computed ...
Stefan Dziembowski, Krzysztof Pietrzak
ML
2006
ACM
103views Machine Learning» more  ML 2006»
14 years 1 months ago
Type-safe distributed programming for OCaml
Existing ML-like languages guarantee type-safety, ensuring memty and protecting the invariants of abstract types, but only within single executions of single programs. Distributed...
John Billings, Peter Sewell, Mark R. Shinwell, Rok...
DOCENG
2011
ACM
12 years 7 months ago
Contributions to the study of SMS spam filtering: new collection and results
The growth of mobile phone users has lead to a dramatic increasing of SMS spam messages. In practice, fighting mobile phone spam is difficult by several factors, including the lo...
Tiago A. Almeida, José María G&oacut...