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Advances in Cryptology - CRYPTO 2009
Fast Cryptographic Primitives and Circular-Secure Encryption Based on Hard Learning Problems
other
Author(s):
Benny Applebaum
,
David Cash
,
Chris Peikert
,
Amit Sahai
Publication date
(Print):
2009
Publisher:
Springer Berlin Heidelberg
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Worst‐Case to Average‐Case Reductions Based on Gaussian Measures
Daniele Micciancio
,
Oded Regev
(2007)
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Noise-tolerant learning, the parity problem, and the statistical query model
Hal Wasserman
,
Avrim Blum
,
Adam Kalai
(2003)
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Lattice-based Cryptography
Daniele Micciancio
,
Oded Regev
(2009)
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Book Chapter
Publication date (Print):
2009
Pages
: 595-618
DOI:
10.1007/978-3-642-03356-8_35
SO-VID:
8e85e098-06d4-4284-a0ae-dbd861dfe665
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Book chapters
pp. 1
Reconstructing RSA Private Keys from Random Key Bits
pp. 18
Public-Key Cryptosystems Resilient to Key Leakage
pp. 317
Batch Binary Edwards
pp. 355
Computational Indistinguishability Amplification: Tight Product Theorems for System Composition
pp. 541
Privacy-Enhancing Auctions Using Rational Cryptography
pp. 36
Leakage-Resilient Public-Key Cryptography in the Bounded-Retrieval Model
pp. 55
Short Chosen-Prefix Collisions for MD5 and the Creation of a Rogue CA Certificate
pp. 108
Randomizable Proofs and Delegatable Anonymous Credentials
pp. 126
Computational Differential Privacy
pp. 143
Probabilistically Checkable Arguments
pp. 177
On the Amortized Complexity of Zero-Knowledge Protocols
pp. 192
Linear Algebra with Sub-linear Zero-Knowledge Arguments
pp. 286
How to Encipher Messages on a Small Domain
pp. 303
How to Hash into Elliptic Curves
pp. 374
Merkle Puzzles Are Optimal — An O(n2)-Query Attack on Any Key Exchange from a Random Oracle
pp. 408
Improving the Security of Quantum Protocols via Commit-and-Open
pp. 445
How Risky Is the Random-Oracle Model?
pp. 577
On Bounded Distance Decoding, Unique Shortest Vectors, and the Minimum Distance Problem
pp. 595
Fast Cryptographic Primitives and Circular-Secure Encryption Based on Hard Learning Problems
pp. 654
Short and Stateless Signatures from the RSA Assumption
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On Ideal Lattices and Learning with Errors over Rings
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