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TSMC
2011
228views more  TSMC 2011»
13 years 2 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
CRYPTO
2005
Springer
110views Cryptology» more  CRYPTO 2005»
14 years 1 months ago
The Conditional Correlation Attack: A Practical Attack on Bluetooth Encryption
Motivated by the security of the nonlinear filter generator, the concept of correlation was previously extended to the conditional correlation, that studied the linear correlation...
Yi Lu 0002, Willi Meier, Serge Vaudenay
JMLR
2012
11 years 10 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
IUI
2006
ACM
14 years 1 months ago
Linking messages and form requests
Large organizations with sophisticated infrastructures have large form-based systems that manage the interaction between the user community and the infrastructure. In many cases, ...
Anthony Tomasic, John Zimmerman, Isaac Simmons
PE
2002
Springer
176views Optimization» more  PE 2002»
13 years 7 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon