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» Learning in the Limit with Adversarial Disturbances
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DISCEX
2003
IEEE
13 years 10 months ago
Design and Analysis of an IP-Layer Anonymizing Infrastructure
This paper describes an IP-layer anonymizing infrastructure, called ANON, which allows server addresses to be hidden from clients and vice versa. In providing address anonymity, A...
H. T. Kung, Chen-Mou Cheng, Koan-Sin Tan, Scott Br...
FC
2006
Springer
109views Cryptology» more  FC 2006»
13 years 8 months ago
A Private Stable Matching Algorithm
Existing stable matching algorithms reveal the preferences of all participants, as well as the history of matches made and broken in the course of computing a stable match. This in...
Philippe Golle
SOFSEM
2010
Springer
14 years 1 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
MHCI
2004
Springer
13 years 10 months ago
Mobile Context Aware Systems: The Intelligence to Support Tasks and Effectively Utilise Resources
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...
Russell Beale, Peter Lonsdale
CRYPTO
2011
Springer
207views Cryptology» more  CRYPTO 2011»
12 years 4 months ago
Secure Computation on the Web: Computing without Simultaneous Interaction
Secure computation enables mutually suspicious parties to compute a joint function of their private inputs while providing strong security guarantees. Amongst other things, even i...
Shai Halevi, Yehuda Lindell, Benny Pinkas