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Public-Key Cryptography – PKC 2017

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Cover of 'Public-Key Cryptography – PKC 2017'

Table of Contents

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    Book Overview
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    Chapter 1 LP Solutions of Vectorial Integer Subset Sums – Cryptanalysis of Galbraith’s Binary Matrix LWE
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    Chapter 2 Improved Algorithms for the Approximate k-List Problem in Euclidean Norm
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    Chapter 3 Zeroizing Attacks on Indistinguishability Obfuscation over CLT13
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    Chapter 4 Cut Down the Tree to Achieve Constant Complexity in Divisible E-cash
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    Chapter 5 Asymptotically Tight Bounds for Composing ORAM with PIR
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    Chapter 6 Predictable Arguments of Knowledge
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    Chapter 7 Removing Erasures with Explainable Hash Proof Systems
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    Chapter 8 Scalable Multi-party Private Set-Intersection
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    Chapter 9 Tightly Secure IBE Under Constant-Size Master Public Key
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    Chapter 10 Separating IND-CPA and Circular Security for Unbounded Length Key Cycles
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    Chapter 11 Structure-Preserving Chosen-Ciphertext Security with Shorter Verifiable Ciphertexts
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    Chapter 12 Non-malleable Codes with Split-State Refresh
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    Chapter 13 Tight Upper and Lower Bounds for Leakage-Resilient, Locally Decodable and Updatable Non-malleable Codes
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    Chapter 14 Fully Leakage-Resilient Codes
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    Chapter 15 On the Bit Security of Elliptic Curve Diffie–Hellman
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    Chapter 16 Extended Tower Number Field Sieve with Application to Finite Fields of Arbitrary Composite Extension Degree
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    Chapter 17 Provably Secure NTRU Instances over Prime Cyclotomic Rings
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    Chapter 18 Equivalences and Black-Box Separations of Matrix Diffie-Hellman Problems
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Mentioned by

3 tweeters
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Public-Key Cryptography – PKC 2017
Published by
Springer, Berlin, Heidelberg, January 2017
DOI 10.1007/978-3-662-54365-8
978-3-66-254364-1, 978-3-66-254365-8

Serge Fehr

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 3 30%
Student > Doctoral Student 1 10%
Student > Postgraduate 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 6 60%
Engineering 2 20%
Mathematics 1 10%
Unknown 1 10%