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FOCS
2010
IEEE
13 years 6 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
IEEESCC
2007
IEEE
14 years 2 months ago
Web Services Security and Privacy
eb services are becoming widely deployed to implement the automation of business processes such as supply chain management, inventory tracking, and healthcare management, just to ...
Patrick C. K. Hung, Casey K. Fung
ACSAC
2003
IEEE
14 years 1 months ago
Efficient Minimum-Cost Network Hardening Via Exploit Dependency Graphs
In-depth analysis of network security vulnerability must consider attacker exploits not just in isolation, but also in combination. The general approach to this problem is to comp...
Steven Noel, Sushil Jajodia, Brian O'Berry, Michae...
AGENTS
2001
Springer
14 years 16 days ago
Intelligent agents for an artificial market system
This paper describes an agent-based artificial market system whose underlying interaction protocols provide advanced features. Using the system, actors (i.e., customers and mercha...
Nikos I. Karacapilidis, Pavlos Moraitis
BIOSIG
2010
152views Biometrics» more  BIOSIG 2010»
13 years 6 months ago
Biometric Systems in Future Preventive Scenarios - Legal Issues and Challenges
: The privacy and data protection challenges posed by biometric systems have been discussed in detail in the last years. Both security opportunities and privacy risks however may d...
Gerrit Hornung, Monika Desoi, Matthias Pocs