Results 101 to 110 of about 212,227 (315)
Trajectory privacy protection scheme based on differential privacy
Tongxin xuebao, 2021 To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient ...
Si CHEN +3 more
doaj +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn +17 more
wiley +1 more source
Early BMI Change, Cognitive Decline, and CSF AD Biomarkers Alterations in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the relationship of early BMI change with subsequent cognitive decline, CSF AD biomarkers alterations, and progression to dementia in patients with PD. Methods Study data were prospectively collected from the PPMI cohort. Weight/height data at enrollment and second‐year clinical visit were utilized to calculate BMI change.
Rui Zhong, Kezhong Zhang
wiley +1 more source
Concentrated Differential Privacy for Bandits
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)Appears in IEEE SaTML ...
Azize, Achraf, Basu, Debabrota
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Music interventions have been shown to have beneficial effects on hemodynamic parameters, pain, and anxiety in various medical settings. However, music interventions in the setting of acute stroke have not been studied. The objective of this trial was to perform a pilot feasibility study of music interventions in the setting of acute
Jeffrey J. Fletcher +7 more
wiley +1 more source
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds [PDF]
arXiv, 2016 "Concentrated differential privacy" was recently introduced by Dwork and Rothblum as a relaxation of differential privacy, which permits sharper analyses of many privacy-preserving computations. We present an alternative formulation of the concept of concentrated differential privacy in terms of the Renyi divergence between the distributions obtained ...
arxiv
Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita +7 more
wiley +1 more source
DPRF: A Differential Privacy Protection Random Forest
IEEE Access, 2019 Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification algorithm, and a random forest algorithm based on ...
Jun Hou +5 more
doaj +1 more source
Assessing differentially private deep learning with Membership Inference [PDF]
arXiv, 2019 Attacks that aim to identify the training data of public neural networks represent a severe threat to the privacy of individuals participating in the training data set. A possible protection is offered by anonymization of the training data or training function with differential privacy.
arxiv
Differential privacy via wavelet transforms [PDF]
, 2010 Xiaokui Xiao +2 more
openalex +1 more source