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» The Return of the Sensitivity Attack
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CORR
2008
Springer
146views Education» more  CORR 2008»
13 years 7 months ago
Intrusion Detection Using Cost-Sensitive Classification
Intrusion Detection is an invaluable part of computer networks defense. An important consideration is the fact that raising false alarms carries a significantly lower cost than not...
Aikaterini Mitrokotsa, Christos Dimitrakakis, Chri...
ACNS
2003
Springer
123views Cryptology» more  ACNS 2003»
14 years 28 days ago
Security Protocols for Biometrics-Based Cardholder Authentication in Smartcards
Abstract. The use of biometrics, and fingerprint recognition in particular, for cardholder authentication in smartcard systems is growing in popularity, and such systems are the f...
Luciano Rila, Chris J. Mitchell
IPPS
2009
IEEE
14 years 2 months ago
Combating side-channel attacks using key management
Embedded devices are widely used in military and civilian operations. They are often unattended, publicly accessible, and thus vulnerable to physical capture. Tamper-resistant mod...
Donggang Liu, Qi Dong
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
13 years 11 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
NIPS
1998
13 years 9 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch