Results 21 to 30 of about 357,414 (246)
Faster Homomorphic Trace-Type Function Evaluation
IEEE Access, 2021 Homomorphic encryption enables computations over encrypted data without decryption, and can be used for outsourcing computations to some untrusted source.
Yu Ishimaki, Hayato Yamana
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Learning with Errors and Extrapolated Dihedral Cosets [PDF]
, 2018 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
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Representation learning with reward prediction errors
Neurons, Behavior, Data analysis, and Theory, 2022 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
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Leveled Certificateless Fully Homomorphic Encryption Schemes From Learning With Errors
IEEE Access, 2020 Fully homomorphic encryption (FHE) is a form of public-key encryption that allows the computation of arbitrary functions on encrypted data without decrypting the data. As a result, it is a useful tool with numerous applications.
Mingxiang Li
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Alifmatika, 2023 Errors often occurred when students solve mathematical problems solving, exceedingly when students are faced with contextual story problems. Newman's procedural error analysis classified errors in solved story problems into five categories: reading ...
Anas Ma'ruf Annizar, Dewi Fatma Kumala
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Approximate Autonomous Quantum Error Correction with Reinforcement Learning
Physical Review Letters, 2023 Autonomous quantum error correction (AQEC) protects logical qubits by engineered dissipation and thus circumvents the necessity of frequent, error-prone measurement-feedback loops. Bosonic code spaces, where single-photon loss represents the dominant source of error, are promising candidates for AQEC due to their flexibility and controllability.
Yexiong Zeng +4 more
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STUDENTS’ ERROR ANALYSIS ON LINEAR PROGRAM BASED ON THE KIAT MODEL AND STUDENTS’ LEARNING INTEREST
Kalamatika, 2022 KIAT categorizes three types of mistakes: conceptual, procedural, and technical errors. This study analyzes student errors in solving mathematical problems on linear programming material based on student learning interests.
Jefrizal Hasyim +2 more
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On the concrete hardness of Learning with Errors
Journal of Mathematical Cryptology, 2015 The learning with errors (LWE) problem has become a central building block of modern cryptographic constructions. This work collects and presents hardness results for concrete instances of LWE.
Albrecht Martin R. +2 more
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Quantum Identity-Based Encryption from the Learning with Errors Problem
Cryptography, 2022 To prevent eavesdropping and tampering, network security protocols take advantage of asymmetric ciphers to establish session-specific shared keys with which further communication is encrypted using symmetric ciphers.
Wenhua Gao +3 more
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Automatic error function learning with interpretable compositional networks
Annals of Mathematics and Artificial Intelligence, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richoux, Florian +1 more
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