In post-quantum cryptography, ring learning with errors (RLWE) is a computational problem which serves as the foundation of new cryptographic algorithms...
20 KB (2,978 words) - 12:10, 5 April 2024
In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. It is based on the idea...
20 KB (3,418 words) - 22:27, 3 May 2024
problem known as Ring learning with errors. Ring learning with errors based digital signatures are among the post quantum signatures with the smallest public...
19 KB (2,570 words) - 00:15, 22 May 2024
which they can use to encrypt messages between themselves. The ring learning with errors key exchange (RLWE-KEX) is one of a new class of public key exchange...
23 KB (3,423 words) - 14:36, 29 October 2023
Lattice-based cryptography (category Articles with short description)
is based on the ring learning with errors (RLWE) problem. NTRU Prime. Peikert's work, which is based on the ring learning with errors (RLWE) problem....
23 KB (2,766 words) - 09:27, 17 August 2024
Post-quantum cryptography (category Articles with short description)
such as learning with errors, ring learning with errors (ring-LWE), the ring learning with errors key exchange and the ring learning with errors signature...
53 KB (5,602 words) - 18:44, 20 August 2024
Ideal lattice (category Articles with short description)
for quantum computer attack resistant cryptography based on the Ring Learning with Errors. These cryptosystems are provably secure under the assumption...
39 KB (6,061 words) - 05:23, 17 June 2024
Homomorphic encryption (category Articles with short description)
security of most of these schemes is based on the hardness of the (Ring) Learning With Errors (RLWE) problem, except for the LTV and BLLN schemes that rely...
40 KB (4,409 words) - 06:07, 19 August 2024
NewHope (category Articles with short description)
reconciliation. Previous ring learning with error key exchange schemes correct errors one coefficient at a time, whereas NewHope corrects errors 2 or 4 coefficients...
4 KB (409 words) - 14:18, 28 August 2023
signature can be compressed using Huffman coding. Ring Learning with Errors Ring Learning with Errors Signature Leon Groot Bruinderink, Andreas Hülsing...
4 KB (461 words) - 03:20, 1 January 2024
Oded Regev (computer scientist) (category Articles with short description)
with Phong Q. Nguyen, for which they won a best paper award at Eurocrypt 2006; introducing the ring learning with errors problem in joint work with Chris...
9 KB (815 words) - 09:54, 2 August 2024
CECPQ1 (category Articles with short description)
key-agreement algorithm for TLS that combines X25519 and NewHope, a ring learning with errors primitive. Even if NewHope were to turn out to be compromised...
2 KB (193 words) - 11:23, 18 September 2021
Regularized long-wave equation; see Benjamin–Bona–Mahony equation Ring learning with errors Radio Limerick Weekly Echo, popular radio station broadcasting...
252 bytes (62 words) - 09:11, 21 October 2019
made ridiculous by the number of errors that were made throughout". Set in the Greek city of Ephesus, The Comedy of Errors tells the story of two sets of...
35 KB (4,280 words) - 08:49, 22 August 2024
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of...
174 KB (17,194 words) - 08:29, 21 August 2024
Feedforward neural network (category Articles with short description)
Geoffrey E.; Williams, Ronald J. (October 1986). "Learning representations by back-propagating errors". Nature. 323 (6088): 533–536. Bibcode:1986Natur...
18 KB (1,956 words) - 06:38, 7 August 2024
assumption of the ring learning with errors (RLWE) problem, the ring variant of very promising lattice-based hard problem Learning with errors (LWE). Currently...
10 KB (1,734 words) - 18:15, 2 April 2023
observed errors. Learning is complete when examining additional observations does not usefully reduce the error rate. Even after learning, the error rate...
153 KB (16,008 words) - 01:30, 23 August 2024
Training, validation, and test data sets (redirect from Dataset (machine learning))
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function...
20 KB (2,174 words) - 15:55, 19 August 2024
compared to R-SIS. Lattice-based cryptography Homomorphic encryption Ring learning with errors key exchange Post-quantum cryptography Lattice problem Ajtai,...
16 KB (3,164 words) - 09:50, 15 May 2024
Fellowship of the Ring (2001), The Two Towers (2002), and The Return of the King (2003). Produced and distributed by New Line Cinema with the co-production...
125 KB (12,897 words) - 15:08, 23 August 2024
Kyber (category All articles with bare URLs for citations)
(ML-KEM). The system is based on the module learning with errors (M-LWE) problem, in conjunction with cyclotomic rings. Recently, there has also been a tight...
14 KB (1,419 words) - 00:02, 27 August 2024
of ringers attempt to ring with their best striking. They are judged on their number of faults (striking errors); the band with the fewest faults wins...
52 KB (7,080 words) - 22:40, 23 June 2024
with the highest ring number). On most operating systems, Ring 0 is the level with the most privileges and interacts most directly with the physical hardware...
30 KB (3,750 words) - 00:41, 22 July 2024
Iron sights (redirect from Ghost ring)
of the sight, causing windage errors in aiming, or lower the apparent height of the front sight, causing elevation errors in aiming. Since the direction...
43 KB (5,691 words) - 01:41, 23 August 2024
Ringworld (redirect from Ring world)
Wu and his companions on a mission to the Ringworld, an enormous rotating ring, an alien construct in space 186 million miles (299 million kilometres) in...
24 KB (2,792 words) - 21:56, 17 August 2024
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as...
53 KB (6,664 words) - 22:55, 10 August 2024
One-hot (category CS1 errors: missing periodical)
digital circuits and machine learning, a one-hot is a group of bits among which the legal combinations of values are only those with a single high (1) bit and...
9 KB (1,209 words) - 20:16, 10 June 2024
Discrimination learning is defined in psychology as the ability to respond differently to different stimuli. This type of learning is used in studies...
10 KB (1,323 words) - 15:22, 16 April 2023
Social learning refers to learning that is facilitated by observation of, or interaction with, another animal or its products. Social learning has been...
65 KB (7,272 words) - 14:50, 6 January 2024