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
doaj +1 more source
The dynamics of syntax acquisition: facilitation between syntactic structures [PDF]
This paper sets out to show how facilitation between different clause structures operates over time in syntax acquisition. The phenomenon of facilitation within given structures has been widely documented, yet inter-structure facilitation has rarely been
Ben-Horin +15 more
core +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Learning from errors: effects of teachers training on studentsâ attitudes towards and their individual use of errors [PDF]
Constructive error handling is considered an important factor for individual learning processes. In a quasi-experimental study with Grades 6 to 9 students, we investigate effects on students’ attitudes towards errors as learning opportunities in two ...
Heinze, Aiso +2 more
core +2 more sources
Faster Homomorphic Trace-Type Function Evaluation
Homomorphic encryption enables computations over encrypted data without decryption, and can be used for outsourcing computations to some untrusted source.
Yu Ishimaki, Hayato Yamana
doaj +1 more source
Learning with Errors and Extrapolated Dihedral Cosets [PDF]
The hardness of the learning with errors (LWE) problem is one of the most fruitful resources of modern cryptography. In particular, it is one of the most prominent candidates for secure post-quantum cryptography. Understanding its quantum complexity is therefore an important goal. We show that under quantum polynomial time reductions, LWE is equivalent
Brakerski, Zvika +3 more
openaire +3 more sources
Predictive learning, prediction errors, and attention: evidence from event-related potentials and eye tracking [PDF]
Prediction error (‘‘surprise’’) affects the rate of learning: We learn more rapidly about cues for which we initially make incorrect predictions than cues for which our initial predictions are correct.
A. J. Wills +4 more
core +1 more source
Representation learning with reward prediction errors
The Reward Prediction Error hypothesis proposes that phasic activity in the midbrain dopaminergic system reflects prediction errors needed for learning in reinforcement learning. Besides the well-documented association between dopamine and reward processing, dopamine is implicated in a variety of functions without a clear relationship to reward ...
Alexander, William H. +1 more
openaire +2 more sources

