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» Derandomizing from Random Strings
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ICDAR
2003
IEEE
14 years 19 days ago
Using Character Recognition and Segmentation to Tell Computer from Humans
How do you tell a computer from a human? The situation arises often on the Internet, when online polls are conducted, accounts are requested, undesired email is received, and chat...
Patrice Y. Simard, Richard Szeliski, Josh Benaloh,...
STOC
2005
ACM
198views Algorithms» more  STOC 2005»
14 years 7 months ago
On lattices, learning with errors, random linear codes, and cryptography
Our main result is a reduction from worst-case lattice problems such as GAPSVP and SIVP to a certain learning problem. This learning problem is a natural extension of the `learnin...
Oded Regev
CRYPTO
2012
Springer
219views Cryptology» more  CRYPTO 2012»
11 years 9 months ago
Tamper and Leakage Resilience in the Split-State Model
It is notoriously difficult to create hardware that is immune from side channel and tampering attacks. A lot of recent literature, therefore, has instead considered algorithmic de...
Feng-Hao Liu, Anna Lysyanskaya
ALGORITHMICA
2005
93views more  ALGORITHMICA 2005»
13 years 7 months ago
Universal Asymptotics for Random Tries and PATRICIA Trees
Abstract. We consider random tries and random patricia trees constructed from n independent strings of symbols drawn from any distribution on any discrete space. We show that many ...
Luc Devroye
COMBINATORICS
2004
90views more  COMBINATORICS 2004»
13 years 7 months ago
Strings with Maximally Many Distinct Subsequences and Substrings
A natural problem in extremal combinatorics is to maximize the number of distinct subsequences for any length-n string over a finite alphabet ; this value grows exponentially, but...
Abraham Flaxman, Aram Wettroth Harrow, Gregory B. ...