Results 101 to 110 of about 7,877,596 (288)

Local Distance Query with Differential Privacy

CoRR
Differential Privacy (DP) is commonly employed to safeguard graph analysis or publishing. Distance, a critical factor in graph analysis, is typically handled using curator DP, where a trusted curator holds the complete neighbor lists of all vertices and answers queries privately. However, in many real-world scenarios, such a curator may not be present,
Weihong Sheng, Jiajun Chen 0003, Bin Cai, Chunqiang Hu, Meng Han, Jiguo Yu   +5 more
openaire   +2 more sources

Local Differential Privacy Mechanisms for Frequency Estimation with Application to Mobility Data [PDF]

openDifferential Privacy is a powerful mathematical tool that is applied to data allowing aggregate statistics to be released while protecting each individual’s privacy.
FINNEGAN, AVA LOUISE
core  

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Universal Optimality and Robust Utility Bounds for Metric Differential Privacy

, 2022
We study the privacy-utility trade-off in the context of metric differential privacy. Ghosh et al. introduced the idea of universal optimality to characterise the best mechanism for a certain query that simultaneously satisfies (a fixed) $\epsilon ...
Fernandes, Natasha, Ding, Ming, Palamidessi, Catuscia, McIver, Annabelle   +3 more
core   +1 more source

Disease Course After Anti‐CD20 Discontinuation in Secondary Progressive Multiple Sclerosis—A Multicenter Long‐Term Longitudinal Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto, Dariia Kliushnikova, Richard Friedrich Radlberger, Sinan Yasaroglu, Tobias Moser, Andrea Harrer, Kitty Kratzer, Wolfgang Hitzl, Christiane Gradl, Martin Schmidauer, Patrick Roth, Harald Hegen, Peter Wipfler   +12 more
wiley   +1 more source

Information-theoretic metrics for local differential privacy protocols [PDF]

, 2019
Local Differential Privacy (LDP) protocols allow an aggregator to obtain population statistics about sensitive data of a userbase, while protecting the privacy of the individual users.
Lopuhaä-Zwakenberg, Milan, Škorić, Boris; id_orcid, Li, Ninghui   +2 more
core   +1 more source

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Adaptive personalized privacy-preserving data collection scheme with local differential privacy

Journal of King Saud University: Computer and Information Sciences
Local differential privacy (LDP) is a state-of-the-art privacy notion that enables terminal participants to share their private data safely while controlling the privacy disclosure at the source.
Haina Song, Hua Shen, Nan Zhao, Zhangqing He, Wei Xiong, Minghu Wu, Mingwu Zhang   +6 more
doaj   +1 more source

Investigation of Complement Activation and Cytokine Signatures in AQP4+ NMOSD, MOGAD, and MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Aquaporin‐4‐IgG seropositive neuromyelitis optica spectrum disorder (AQP4+ NMOSD), myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD), and multiple sclerosis (MS) are pathophysiologically distinct neuroinflammatory disorders. Complement activation is a major mechanism of injury in AQP4+ NMOSD, whereas its role in
Angeliki G. Filippatou, Susana Dominguez‐Penuela, David Acero‐Garces, Georgios Gakis, Matthew D. Smith, Yasmin Resto, Maria Reyes‐Mantilla, Haiwen Chen, Isabella Hernandez, Yana Said, Andrea Salazar‐Camelo, Christina Huynh, Alessia Tassoni, Ted Yednock, Rick Artis, Yaisa Andrews‐Zwilling, Scott D. Newsome, Shiv Saidha, Pavan Bhargava, Ellen M. Mowry, Kathryn C. Fitzgerald, Peter A. Calabresi, Carlos A. Pardo, Elias S. Sotirchos   +23 more
wiley   +1 more source

Locally differentially private continuous location sharing with randomized response

International Journal of Distributed Sensor Networks, 2019
With the growing popularity of fifth-generation-enabled Internet of Things devices with localization capabilities, as well as on-building fifth-generation mobile network, location privacy has been giving rise to more frequent and extensive privacy ...
Xingxing Xiong, Shubo Liu, Dan Li, Jun Wang, Xiaoguang Niu   +4 more
doaj   +1 more source