Results 41 to 50 of about 2,389 (258)
Cloud outsourcing secret sharing scheme against covert adversaries
In order to make computationally weak cloud tenants can reconstruct a secret with efficiency and fairness,a cloud outsourcing secret sharing scheme was proposed,which combined cloud outsourcing computation with secret sharing scheme.In the process of ...
En ZHANG +5 more
doaj +2 more sources
On the Security of Offloading Post-Processing for Quantum Key Distribution
Quantum key distribution (QKD) has been researched for almost four decades and is currently making its way to commercial applications. However, deployment of the technology at scale is challenging because of the very particular nature of QKD and its ...
Thomas Lorünser +3 more
doaj +1 more source
Secure Outsourced Calculations with Homomorphic Encryption
With the rapid development of cloud computing, the privacy security incidents occur frequently, especially data security issues. Cloud users would like to upload their sensitive information to cloud service providers in encrypted form rather than the raw data, and to prevent the misuse of data. The main challenge is to securely process or analyze these
Qi Wang, Dehua Zhou, Yanling Li
openaire +2 more sources
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Secure data outsourcing in presence of the inference problem: issues and directions
With the emergence of cloud computing paradigms, secure data outsourcing has become one of the crucial challenges which strongly imposes itself. Data owners place their data among cloud service providers in order to increase flexibility, optimize storage,
Adel Jebali +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Outsourcing machine learning models to cloud servers allows data owners to train and utilize models without investing in dedicated hardware. However, this approach raises significant concerns regarding the proprietary nature of the models and the data ...
Nawal Almutairi
doaj +1 more source
PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem
Background As one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper sequence. Although many algorithms for dealing with the DDP problem were proposed during the past decades,
Jingwen Suo +5 more
doaj +1 more source
This study aimed to investigate the potential of a mannan‐rich fraction (MRF) as a dietary intervention to alleviate weaning stress in piglets. Our results revealed that MRF could alleviate weaning stress by modulating the gut microbiota and the TLR5/NF‐κB signaling pathway, offering a novel and sustainable alternative to antibiotic use in swine ...
Yutong Lu +8 more
wiley +1 more source
Consortium Blockchain-Based SIFT: Outsourcing Encrypted Feature Extraction in the D2D Network
Privacy-preserving outsourcing algorithms for feature extraction not only reduce users' storage and computation overhead but also preserve the image privacy.
Xiaoqin Feng +4 more
doaj +1 more source

