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Advances in Cryptology -- EUROCRYPT 2015

Overview of attention for book
Advances in Cryptology -- EUROCRYPT 2015
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cryptanalysis of the Multilinear Map over the Integers
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    Chapter 2 Robust Authenticated-Encryption AEZ and the Problem That It Solves
  4. Altmetric Badge
    Chapter 3 On the Behaviors of Affine Equivalent Sboxes Regarding Differential and Linear Attacks
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    Chapter 4 A Provable-Security Analysis of Intel’s Secure Key RNG
  6. Altmetric Badge
    Chapter 5 A Formal Treatment of Backdoored Pseudorandom Generators
  7. Altmetric Badge
    Chapter 6 Advances in Cryptology -- EUROCRYPT 2015
  8. Altmetric Badge
    Chapter 7 The Multiple Number Field Sieve with Conjugation and Generalized Joux-Lercier Methods
  9. Altmetric Badge
    Chapter 8 Better Algorithms for LWE and LWR
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    Chapter 9 On Computing Nearest Neighbors with Applications to Decoding of Binary Linear Codes
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    Chapter 10 Cryptanalytic Time-Memory-Data Tradeoffs for FX-Constructions with Applications to PRINCE and PRIDE
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    Chapter 11 A Generic Approach to Invariant Subspace Attacks: Cryptanalysis of Robin, iSCREAM and Zorro
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    Chapter 12 Structural Evaluation by Generalized Integral Property
  14. Altmetric Badge
    Chapter 13 Cryptanalysis of SP Networks with Partial Non-Linear Layers
  15. Altmetric Badge
    Chapter 14 The Sum Can Be Weaker Than Each Part
  16. Altmetric Badge
    Chapter 15 Advances in Cryptology -- EUROCRYPT 2015
  17. Altmetric Badge
    Chapter 16 Making Masking Security Proofs Concrete
  18. Altmetric Badge
    Chapter 17 Ciphers for MPC and FHE
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    Chapter 18 Verified Proofs of Higher-Order Masking
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    Chapter 19 Inner Product Masking Revisited
  21. Altmetric Badge
    Chapter 20 Fully Homomophic Encryption over the Integers Revisited
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    Chapter 21 (Batch) Fully Homomorphic Encryption over Integers for Non-Binary Message Spaces
  23. Altmetric Badge
    Chapter 22 KDM-CCA Security from RKA Secure Authenticated Encryption
  24. Altmetric Badge
    Chapter 23 On the Provable Security of the Iterated Even-Mansour Cipher Against Related-Key and Chosen-Key Attacks
  25. Altmetric Badge
    Chapter 24 FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
  26. Altmetric Badge
    Chapter 25 Bootstrapping for HElib
  27. Altmetric Badge
    Chapter 26 More Efficient Oblivious Transfer Extensions with Security for Malicious Adversaries
  28. Altmetric Badge
    Chapter 27 How to Efficiently Evaluate RAM Programs with Malicious Security
  29. Altmetric Badge
    Chapter 28 Cube Attacks and Cube-Attack-Like Cryptanalysis on the Round-Reduced Keccak Sponge Function
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    Chapter 29 Twisted Polynomials and Forgery Attacks on GCM
  31. Altmetric Badge
    Chapter 30 Quadratic Time, Linear Space Algorithms for Gram-Schmidt Orthogonalization and Gaussian Sampling in Structured Lattices
Attention for Chapter 24: FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

patent
3 patents
wikipedia
2 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
179 Mendeley
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Chapter title
FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
Chapter number 24
Book title
Advances in Cryptology -- EUROCRYPT 2015
Published in
Lecture notes in computer science, April 2015
DOI 10.1007/978-3-662-46800-5_24
Book ISBNs
978-3-66-246799-2, 978-3-66-246800-5
Authors

Léo Ducas, Daniele Micciancio, Ducas, Léo, Micciancio, Daniele

Editors

Elisabeth Oswald, Marc Fischlin

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 178 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 18%
Student > Master 28 16%
Researcher 16 9%
Student > Bachelor 10 6%
Student > Postgraduate 8 4%
Other 24 13%
Unknown 60 34%
Readers by discipline Count As %
Computer Science 83 46%
Engineering 17 9%
Mathematics 6 3%
Physics and Astronomy 4 2%
Business, Management and Accounting 2 1%
Other 5 3%
Unknown 62 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2023.
All research outputs
#2,707,982
of 23,495,502 outputs
Outputs from Lecture notes in computer science
#552
of 8,135 outputs
Outputs of similar age
#35,652
of 265,736 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 93 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,135 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.