Results 81 to 90 of about 70,475,198 (271)

Efficient Zero-Knowledge Proofs for Commitments from Learning with Errors over Rings

, 2015
We extend a commitment scheme based on the learning with errors over rings $$\mathsf{RLWE}$$ problem, and present efficient companion zero-knowledge proofs of knowledge. Our scheme maps elements from the ring or equivalently, n elements from $$\mathbb F_q$$ to a small constant number of ring elements.
Fabrice Benhamouda, Stephan Krenn, Vadim Lyubashevsky, Krzysztof Pietrzak   +3 more
openaire   +4 more sources

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad, Pouya Metanat, Michael Thomas, Luke W. Bonham, Tyson Lam, Mehmet Kurt, Hong Nguyen, Tara Ellingson, Mauro Zucchelli, Stefano Casagranda, Quin Lu, Andreas M. Rauschecker, Leo Sugrue, Luis E. Savastano, Christopher P. Hess, Kamalini Ranasinghe, S. Andrew Josephson, Bruce L. Miller, Jennifer S. Yokoyama, Gil D. Rabinovici, Peter A. Ljubenkov, Lawren VandeVrede, Kambiz Nael   +22 more
wiley   +1 more source

Algebraic Equipage for Learning with Errors in Cyclic Division Algebras [PDF]

In Noncommutative Ring Learning With Errors From Cyclic Algebras, a variant of Learning with Errors from cyclic division algebras, dubbed ‘Cyclic LWE\u27, was developed, and security reductions similar to those known for the ring and module case were ...
Cong Ling, Andrew Mendelsohn
core   +1 more source

Assessing the feasibility of quantum learning algorithms for noisy linear problems

Scientific Reports
Quantum algorithms for solving noisy linear problems are reexamined, under the same assumptions taken from the existing literature. The findings of this work include on the one hand extended applicability of the quantum Fourier transform to the ring ...
Minkyu Kim, Panjin Kim
doaj   +1 more source

Enhancing Multi-Key Fully Homomorphic Encryption with Efficient Key Switching and Batched Multi-Hop Computations

Applied Sciences
Multi-Key Fully Homomorphic Encryption (MKFHE) offers a powerful solution for secure multi-party computations, where data encrypted under different keys can be jointly computed without decryption.
Liang Zhou, Ruwei Huang, Bingbing Wang
doaj   +1 more source

White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram, Guangwei Du, Sangam Kanekar, Nandakumar Nagaraja   +3 more
wiley   +1 more source

Implementation of Ring Learning-with-Errors Encryption and Brakerski–Fan–Vercauteren Fully Homomorphic Encryption Using ChatGPT

Computers
This paper investigates whether ChatGPT, a large language model, can assist in the implementation of lattice-based cryptography and fully homomorphic encryption algorithms, specifically the Ring Learning-with-Errors encryption scheme and the Brakerski ...
Zhigang Chen, Xinxia Song, Liqun Chen, Hai Liu   +3 more
doaj   +1 more source

Modeling Progressive Brain Volume Losses in Chronic Moderate Severe Traumatic Brain Injury: Extensive, but Attenuating

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green, Brenda Colella, Alana Changoor, David J. Mikulis, Adrienne Li, Kadeen Johns, Georges A. Monette   +6 more
wiley   +1 more source

Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez, Fareshte Erani, Katherine J. Bangen, David G. Coughlin, Douglas Galasko, Kelsey R. Thomas   +5 more
wiley   +1 more source

Dynamic Group Key Exchange Protocol With Lattice Trapdoor and Re-Encryption Mechanisms

IEEE Access
Post-quantum group key exchange protocols have become an increasingly critical area of research due to the potential threat quantum computers pose to classical cryptographic schemes. Traditional group key exchange protocols, often based on Diffie-Hellman
Narn-Yih Lee, Yuan-Ting Tsai
doaj   +1 more source