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» On Randomized Lanczos Algorithms
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 7 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
STOC
2005
ACM
150views Algorithms» more  STOC 2005»
16 years 7 months ago
Correcting errors without leaking partial information
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...
Yevgeniy Dodis, Adam Smith
STOC
2003
ACM
124views Algorithms» more  STOC 2003»
16 years 7 months ago
Extractors: optimal up to constant factors
This paper provides the first explicit construction of extractors which are simultaneously optimal up to constant factors in both seed length and output length. More precisely, fo...
Chi-Jen Lu, Omer Reingold, Salil P. Vadhan, Avi Wi...
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
16 years 6 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
INFOCOM
2009
IEEE
16 years 1 months ago
Null Keys: Limiting Malicious Attacks Via Null Space Properties of Network Coding
—The performance of randomized network coding can suffer significantly when malicious nodes corrupt the content of the exchanged blocks. Previous work have introduced error corr...
Elias Kehdi, Baochun Li