WebOur resultsrely on a new cryptographicassumption, Learn-ing Subspace-with-Noise (LSN), which is related to the well known Learning Parity-with-Noise (LPN) assumption. Categories and Subject Descriptors E.3 [Data]: Data Encryption; E.4 [Data]: Coding and In-formation Theory; H.3.2 [Information Systems]: Infor-mation Storage General Terms WebJan 20, 2024 · The main part is devoted to the study of the basic properties of the OWD. Among them are the properties concerning its nature (nonlinearity, parity, space support conservation, marginals) and some “geometric” transformations (space shift, space scaling) similar to the case of the complex Wigner distribution.
CPA/CCA2-secure PKE with squared-exponential DFR from low-noise …
WebThe Learning Parity with Noise (LPN) problem is well understood in learning theory and cryptography and has been found quite useful in constructing various lightweight cryptographic primitives. WebThe Learning Parity with Noise (LPN) problem has recently found many cryptographic applications such as authentication protocols, pseudorandom generators/functions and even ... Symmetric-key cryptography from constant-noise LPN. LPN was used to build lightweight authentication schemes (e.g. [35,38,39], just to name a few). Kiltz et al. [41] imdb child\\u0027s play
Learning with errors - Wikipedia
WebFeb 28, 2024 · Cryptography is an international peer-reviewed open access quarterly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good … WebApr 13, 2024 · Here we solve an oracle-based problem, known as learning parity with noise, on a five-qubit superconducting processor. ... Pietrzak, K. Cryptography from Learning Parity with Noise. In SOFSEM 2012 ... WebDec 6, 2024 · His research interests include side-channel analysis and countermeasures, efficient constructions of pseudorandom objects, and learning parity with noise. He is a … imdb chicky