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» Adversary lower bounds for nonadaptive quantum algorithms
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CCS
2006
ACM
15 years 3 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
MP
2007
95views more  MP 2007»
14 years 11 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
COCOON
2009
Springer
15 years 6 months ago
On Smoothed Analysis of Quicksort and Hoare's Find
We provide a smoothed analysis of Hoare’s find algorithm and we revisit the smoothed analysis of quicksort. Hoare’s find algorithm – often called quickselect – is an easy...
Mahmoud Fouz, Manfred Kufleitner, Bodo Manthey, Ni...
SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 1 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
WDAG
2005
Springer
100views Algorithms» more  WDAG 2005»
15 years 5 months ago
The Dynamic And-Or Quorum System
We investigate issues related to the probe complexity of the And-Or quorum system and its implementation in a dynamic environment. Our contribution is twofold: We first analyze th...
Uri Nadav, Moni Naor