<--- Back to Details
First PageDocument Content
Computational complexity theory / Logic gates / Circuit complexity / Secure multi-party computation / Levenshtein distance / XOR gate / Boolean circuit / Circuit / Adder / Theoretical computer science / Applied mathematics / Cryptographic protocols
Date: 2011-06-09 13:31:32
Computational complexity theory
Logic gates
Circuit complexity
Secure multi-party computation
Levenshtein distance
XOR gate
Boolean circuit
Circuit
Adder
Theoretical computer science
Applied mathematics
Cryptographic protocols

Faster Secure Two-Party Computation Using Garbled Circuits Yan Huang David Evans University of Virginia

Add to Reading List

Source URL: www.usenix.org

Download Document from Source Website

File Size: 414,79 KB

Share Document on Facebook

Similar Documents

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

DocID: 1xVSx - View Document

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

DocID: 1xVdz - View Document

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

DocID: 1xUJf - View Document

Mathematics_BS_Applied.pdf

Mathematics_BS_Applied.pdf

DocID: 1xTYO - View Document

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

DocID: 1vrMQ - View Document