Results 51 to 60 of about 254,345 (274)
Child Health Dataset Publishing and Mining Based on Differential Privacy Preservation
MathematicsWith the emergence and development of application requirements such as data analysis and publishing, it is particularly important to use differential privacy protection technology to provide more reliable, secure, and compliant datasets for research in ...
Wenyu Li +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.In normal (nontolerant) cells, CD14 is crucial for both LPS uptake and LPS signaling. In LPS‐tolerant cells, in which LPS‐induced TNF‐α and IFN‐β production is suppressed, there is a dramatic increase in surface CD14 expression. The overexpressed CD14 in LPS‐tolerant cells is responsible for the enhanced LPS uptake without inducing pro‐inflammatory ...
Saeka Nishihara +3 more
wiley +1 more source
Privacy Protection from Sampling and Perturbation in Survey Microdata
The Journal of Privacy and Confidentiality, 2012 Statistical agencies release microdata from social surveys as public-use files after applying statistical disclosure limitation (SDL) techniques. Disclosure risk is typically assessed in terms of identification risk, where it is supposed that small ...
Natalie Shlomo, Chris J. Skinner
doaj +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
The Journal of Privacy and Confidentiality, 2014 Differential privacy is a definition of privacy for algorithms that analyze and publish information about statistical databases. It is often claimed that differential privacy provides guarantees against adversaries with arbitrary side information.
Shiva P. Kasiviswanathan, Adam Smith
doaj +1 more source
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
Have the cake and eat it too: Differential Privacy enables privacy and precise analytics
Journal of Big Data, 2023 Existing research in differential privacy, whose applications have exploded across functional areas in the last few years, describes an intrinsic trade-off between the privacy of a dataset and its utility for analytics.
Rishabh Subramanian
doaj +1 more source
Extremal Mechanisms for Local Differential Privacy [PDF]
, 2015 Local differential privacy has recently surfaced as a strong measure of privacy in contexts where personal information remains private even from data analysts.
Kairouz, Peter +2 more
core
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Differential Privacy versus Quantitative Information Flow [PDF]
, 2010 Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient privacy protection if the ratio between the probabilities of two different ...
Alvim, Mário S. +3 more
core +3 more sources