Results 71 to 80 of about 278,242 (279)
Privacy-preserving machine learning based on secure two-party computations
Безопасность информационных технологий, 2021 The paper is devoted to the analysis of privacy-preserving machine learning systems based on secure two-party computations. The paper provides introductory information about privacy-preserving machine learning systems, analyses the goals and objectives ...
Sergey V. Zapechnikov +1 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Review of semantic-based privacy-preserving approaches in LBS
网络与信息安全学报, 2016 The development of location-based services (LBS) caused serious privacy concerns.Semantic-based pri-vacy-preserving approaches is an important part of privacy protection in LBS.The recent work on location privacy protection based on semantics were ...
Ming-jie MA,Feng-hua LI +2 more
doaj +3 more sources
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
, 2018 Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan +2 more
core +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
Internet of Things-Based Healthcare Systems: An Overview of Privacy-Preserving Mechanisms
Applied SciencesThe integration of the IoT into healthcare opens new horizons while introducing ethical and legal challenges to preserving patients’ privacy. This paper provides a comprehensive review of privacy-preserving mechanisms in IoT-based healthcare systems ...
Reem Nabha +2 more
doaj +1 more source
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking [PDF]
, 2017 Deep neural networks have become a primary tool for solving problems in many fields. They are also used for addressing information retrieval problems and show strong performance in several tasks.
Azarbonyad, Hosein +3 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Differentially Private Convex Optimization with Piecewise Affine Objectives
, 2014 Differential privacy is a recently proposed notion of privacy that provides strong privacy guarantees without any assumptions on the adversary. The paper studies the problem of computing a differentially private solution to convex optimization problems ...
Han, Shuo +2 more
core +1 more source