Results 11 to 20 of about 357,414 (246)
On the Possibility of Classical Client Blind Quantum Computing
Classical client remote state preparation (CC − RSP) is a primitive where a fully classical party (client) can instruct the preparation of a sequence of random quantum states on some distant party (server) in a way that the description is known to the ...
Alexandru Cojocaru +3 more
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Revocable Cryptography from Learning with Errors
92 pages. Revised version.
Prabhanjan Ananth +2 more
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AbstractLearning with error was proposed by O. Regev in 2005 (see Regev, 2009), which can be regarded as a dual form of SIS problem. LWE has very important applications in modern cryptography, such as LWE-based fully homomorphic encryption. The main purpose of this chapter is to explain the mathematical principles of the LWE problem in detail ...
Zhiyong Zheng, Kun Tian, Fengxia Liu
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New Constructions of Identity-Based Dual Receiver Encryption from Lattices
Dual receiver encryption (DRE), being originally conceived at CCS 2004 as a proof technique, enables a ciphertext to be decrypted to the same plaintext by two different but dual receivers and becomes popular recently due to itself useful application ...
Yuan Liu +3 more
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A Mathematical Perspective on Post-Quantum Cryptography
In 2016, the National Institute of Standards and Technology (NIST) announced an open competition with the goal of finding and standardizing suitable algorithms for quantum-resistant cryptography.
Maximilian Richter +3 more
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Learning with Physical Noise or Errors [PDF]
Hard learning problems have recently attracted significant attention within the cryptographic community, both as a versatile assumption on which to build various protocols, and as a potentially sound basis for lightweight (possibly side-channel and fault resistant) implementations.
Dina Kamel +4 more
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Implementing RLWE-based Schemes Using an RSA Co-Processor
We repurpose existing RSA/ECC co-processors for (ideal) lattice-based cryptography by exploiting the availability of fast long integer multiplication.
Martin R. Albrecht +5 more
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Linear Regression With Distributed Learning: A Generalization Error Perspective [PDF]
Distributed learning provides an attractive framework for scaling the learning task by sharing the computational load over multiple nodes in a network. Here, we investigate the performance of distributed learning for large-scale linear regression where the model parameters, i.e., the unknowns, are distributed over the network.
Martin Hellkvist +2 more
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Delegation of Decryption Rights With Revocability From Learning With Errors
The notion of decryption rights delegation was initially introduced by Blaze et al. in EUROCRYPT 1998. It, defined as proxy re-encryption, allows a semi-trusted proxy to convert a ciphertext intended for a party to another ciphertext of the same ...
Wei Yin +6 more
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On Quantum Chosen-Ciphertext Attacks and Learning with Errors
Large-scale quantum computing poses a major threat to classical public-key cryptography. Recently, strong “quantum access” security models have shown that numerous symmetric-key cryptosystems are also vulnerable.
Gorjan Alagic +3 more
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