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» k-Anonymity: A Model for Protecting Privacy
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CCS
2009
ACM
14 years 2 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
CCS
2009
ACM
14 years 2 months ago
Physically restricted authentication with trusted hardware
Modern computer systems permit users to access protected information from remote locations. In certain secure environments, it would be desirable to restrict this access to a part...
Michael S. Kirkpatrick, Elisa Bertino
CCS
2005
ACM
14 years 1 months ago
On the cost-ineffectiveness of redundancy in commercial P2P computing
We present a game-theoretic model of the interactions between server and clients in a constrained family of commercial P2P computations (where clients are financially compensated...
Matthew Yurkewych, Brian Neil Levine, Arnold L. Ro...
ACSAC
2000
IEEE
14 years 2 days ago
Virtual Enterprise Networks: The Next Generation of Secure Enterprise Networking
We present a vision of computing environments in which enterprise networks are built using untrusted public infrastructures. The vision allows for networks to dynamically change d...
Germano Caronni, S. Kumar, Christoph L. Schuba, Gl...
SP
1998
IEEE
116views Security Privacy» more  SP 1998»
13 years 12 months ago
Strand Spaces: Why is a Security Protocol Correct?
A strand is a sequence of events; it represents either the execution of legitimate party in a security protocol or else a sequence of actions by a penetrator. A strand space is a ...
F. Javier Thayer, Jonathan C. Herzog, Joshua D. Gu...