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CCS
2009
ACM
13 years 11 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
APSCC
2008
IEEE
13 years 11 months ago
A Service-Oriented Framework for Quantitative Security Analysis of Software Architectures
Software systems today often run in malicious environments in which attacks or intrusions are quite common. This situation has brought security concerns into the development of so...
Yanguo Liu, Issa Traoré, Alexander M. Hoole
JCS
2011
138views more  JCS 2011»
12 years 7 months ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...
BMCBI
2008
165views more  BMCBI 2008»
13 years 4 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
CSFW
2010
IEEE
13 years 8 months ago
Towards Quantitative Analysis of Proofs of Authorization: Applications, Framework, and Techniques
—Although policy compliance testing is generally treated as a binary decision problem, the evidence gathered during the trust management process can actually be used to examine t...
Adam J. Lee, Ting Yu