Results 71 to 80 of about 27,257 (306)

User-centric privacy preservation in Internet of Things Networks

, 2023
Recent trends show how the Internet of Things (IoT) and its services are becoming more omnipresent and popular. The end-to-end IoT services that are extensively used include everything from neighborhood discovery to smart home security systems, wearable ...
Maradapu Vera Venkata Sai, Akshita
core   +1 more source

Traffic characteristic based privacy leakage assessment scheme for Android device

Tongxin xuebao, 2020
Aiming at the privacy leakage,which was caused by collecting user information by third-party host in Android operating system App,a privacy leakage evaluation scheme HostRisk was proposed.HostRisk was based on TF-IDF model and hierarchical clustering ...
Zhu WANG, Kun HE, Xinyu WANG, Ben NIU, Fenghua LI   +4 more
doaj   +2 more sources

A Multi-Input Fusion Model for Privacy and Semantic Preservation in Facial Image Datasets

Applied Sciences, 2023
The widespread application of multimedia technologies such as video surveillance, online meetings, and drones facilitates the acquisition of a large amount of data that may contain facial features, posing significant concerns with regard to privacy ...
Yuanzhe Yang, Zhiyi Niu, Yuying Qiu, Biao Song, Xinchang Zhang, Yuan Tian   +5 more
doaj   +1 more source

Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito, Kamal Benguerba, Ken Tsuchida, Kazushige Yazawa, Isao Tsumiyama, Hiromitsu Kayama, Sandra P. Reyna, Farid Khan, Richard S. Finkel   +8 more
wiley   +1 more source

Measuring Privacy and Utility in Privacy-Preserving Visualization

, 2013
In previous work, we proposed a technique for preserving the privacy of quasi-identifiers in sensitive data when visualized using parallel coordinates. This paper builds on that work by introducing a number of metrics that can be used to assess both the ...
Kosara, Robert, Dasgupta, Aritra, Chen, Min   +2 more
core   +1 more source

DP Patch: ROI-Based Approach of Privacy-Preserving Image Processing With Robust Classification

IEEE Access
As machine and deep learning spread across diverse aspects of our society, the concerns about the privacy of the data are getting stronger, particularly in scenarios where sensitive information could be exposed as a result of various privacy attacks ...
Assem Utaliyeva, Seon-Jin Hwang, Yoon-Ho Choi   +2 more
doaj   +1 more source

Review: Privacy-Preservation in the Context of Natural Language Processing

IEEE Access, 2021
Data privacy is one of the highly discussed issues in recent years as we encounter data breaches and privacy scandals often. This raises a lot of concerns about the ways the data is acquired and the potential information leaks. Especially in the field of
Darshini Mahendran, Changqing Luo, Bridget T. Mcinnes   +2 more
doaj   +1 more source

Privacy Preservation in the Publication of Trajectories [PDF]

The Ninth International Conference on Mobile Data Management (mdm 2008), 2008
We study the problem of protecting privacy in the publication of location sequences. Consider a database of trajectories, corresponding to movements of people, captured by their transactions when they use credit or RFID debit cards. We show that, if such trajectories are published exactly (by only hiding the identities of persons that followed them ...
Manolis Terrovitis, Nikos Mamoulis
openaire   +2 more sources

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

Time-aware distributed service recommendation with privacy-preservation

, 2019
© 2018 As a promising way to extract insightful information from massive data, service recommendation has gained ever-increasing attentions in both academic and industrial areas. Recently, the Locality-Sensitive Hashing (LSH) technique is introduced into
Qi, Lianyong, Xu, Xiaolong, Wang, Ruili, He, Qiang, Hu, Chunhua, Li, Shancang   +5 more
core   +1 more source