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This book summarizes recent inventions, provides guidelines and
recommendations, and demonstrates many practical applications of
homomorphic encryption. This collection of papers represents the
combined wisdom of the community of leading experts on Homomorphic
Encryption. In the past 3 years, a global community consisting of
researchers in academia, industry, and government, has been working
closely to standardize homomorphic encryption. This is the first
publication of whitepapers created by these experts that
comprehensively describes the scientific inventions, presents a
concrete security analysis, and broadly discusses applicable use
scenarios and markets. This book also features a collection of
privacy-preserving machine learning applications powered by
homomorphic encryption designed by groups of top graduate students
worldwide at the Private AI Bootcamp hosted by Microsoft Research.
The volume aims to connect non-expert readers with this important
new cryptographic technology in an accessible and actionable way.
Readers who have heard good things about homomorphic encryption but
are not familiar with the details will find this book full of
inspiration. Readers who have preconceived biases based on
out-of-date knowledge will see the recent progress made by
industrial and academic pioneers on optimizing and standardizing
this technology. A clear picture of how homomorphic encryption
works, how to use it to solve real-world problems, and how to
efficiently strengthen privacy protection, will naturally become
clear.
Presenting the latest findings in topics from across the
mathematical spectrum, this volume includes results in pure
mathematics along with a range of new advances and novel
applications to other fields such as probability, statistics,
biology, and computer science. All contributions feature authors
who attended the Association for Women in Mathematics Research
Symposium in 2015: this conference, the third in a series of
biennial conferences organized by the Association, attracted over
330 participants and showcased the research of women mathematicians
from academia, industry, and government.
Presenting the latest findings in topics from across the
mathematical spectrum, this volume includes results in pure
mathematics along with a range of new advances and novel
applications to other fields such as probability, statistics,
biology, and computer science. All contributions feature authors
who attended the Association for Women in Mathematics Research
Symposium in 2015: this conference, the third in a series of
biennial conferences organized by the Association, attracted over
330 participants and showcased the research of women mathematicians
from academia, industry, and government.
This book summarizes recent inventions, provides guidelines and
recommendations, and demonstrates many practical applications of
homomorphic encryption. This collection of papers represents the
combined wisdom of the community of leading experts on Homomorphic
Encryption. In the past 3 years, a global community consisting of
researchers in academia, industry, and government, has been working
closely to standardize homomorphic encryption. This is the first
publication of whitepapers created by these experts that
comprehensively describes the scientific inventions, presents a
concrete security analysis, and broadly discusses applicable use
scenarios and markets. This book also features a collection of
privacy-preserving machine learning applications powered by
homomorphic encryption designed by groups of top graduate students
worldwide at the Private AI Bootcamp hosted by Microsoft Research.
The volume aims to connect non-expert readers with this important
new cryptographic technology in an accessible and actionable way.
Readers who have heard good things about homomorphic encryption but
are not familiar with the details will find this book full of
inspiration. Readers who have preconceived biases based on
out-of-date knowledge will see the recent progress made by
industrial and academic pioneers on optimizing and standardizing
this technology. A clear picture of how homomorphic encryption
works, how to use it to solve real-world problems, and how to
efficiently strengthen privacy protection, will naturally become
clear.
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Selected Areas in Cryptography -- SAC 2013 - 20th International Conference, Burnaby, BC, Canada, August 14-16, 2013, Revised Selected Papers (Paperback, 2014 ed.)
Tanja Lange, Kristin Lauter, Petr Lisonek
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R3,384
Discovery Miles 33 840
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 20th International
Conference on Selected Areas in Cryptography, SAC 2013, held in
Burnaby, Canada, in August 2013. The 26 papers presented in this
volume were carefully reviewed and selected from 98 submissions.
They are organized in topical sections named: lattices; discrete
logarithms; stream ciphers and authenticated encryption;
post-quantum (hash-based and system solving); white box crypto;
block ciphers; elliptic curves, pairings and RSA; hash functions
and MACs; and side-channel attacks. The book also contains 3
full-length invited talks.
This book constitutes the proceedings of the 4th International
Conference on Cryptology and Information Security in Latin America,
LatinCrypt 2015, held in Guadalajara, Mexico, in August 2015. The
20 papers presented were carefully reviewed and selected from 49
submissions. They were organized in topical sections named:
cryptographic protocols; foundations; post-quantum cryptography;
symmetric key cryptanalysis; we still love pairings; curves in
cryptography; and cryptographic engineering.
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