Results 41 to 50 of about 126,150 (308)

Deconvoluting kernel density estimation and regression for locally differentially private data

open access: yesScientific Reports, 2020
Local differential privacy has become the gold-standard of privacy literature for gathering or releasing sensitive individual data points in a privacy-preserving manner.
Farhad Farokhi
doaj   +1 more source

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation

open access: yes, 2015
QoS-based Web service recommendation has recently gained much attention for providing a promising way to help users find high-quality services. To facilitate such recommendations, existing studies suggest the use of collaborative filtering techniques for
He, Pinjia   +3 more
core   +1 more source

Secure and Privacy-Preserving Average Consensus

open access: yes, 2017
Average consensus is fundamental for distributed systems since it underpins key functionalities of such systems ranging from distributed information fusion, decision-making, to decentralized control.
Ahmad, Muaz   +2 more
core   +1 more source

Privacy-preserving model learning on a blockchain network-of-networks. [PDF]

open access: yes, 2020
ObjectiveTo facilitate clinical/genomic/biomedical research, constructing generalizable predictive models using cross-institutional methods while protecting privacy is imperative.
Gabriel, Rodney A   +2 more
core  

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

Differentially Private Empirical Risk Minimization [PDF]

open access: yes, 2011
Privacy-preserving machine learning algorithms are crucial for the increasingly common setting in which personal data, such as medical or financial records, are analyzed.
Anand D. Sarwate   +3 more
core   +2 more sources

Privacy-preserving email forensics

open access: yesDigital Investigation, 2015
AbstractIn many digital forensic investigations, email data needs to be analyzed. However, this poses a threat to the privacy of the individual whose emails are being examined and in particular becomes a problem if the investigation clashes with privacy laws.
Armknecht, Frederik, Dewald, Andreas
openaire   +2 more sources

Privacy-Preserving Technologies [PDF]

open access: yes, 2020
AbstractThis chapter introduces privacy and data protection by design, and reviews privacy-enhancing techniques (PETs). Although privacy by design includes both technical and operational measures, the chapter focuses on the technical measures. First, it enumerates design strategies.
Josep Domingo-Ferrer   +1 more
openaire   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

An Efficient Privacy-Preserving Mutual Authentication Scheme for Secure V2V Communication in Vehicular Ad Hoc Network

open access: yesIEEE Access, 2019
Recent years have witnessed that the new mobility Intelligent Transportation System is booming, especially the development of Vehicular Ad Hoc Networks (VANETs). It brings convenience and a good experience for drivers. Unfortunately, VANETs are suffering
Libing Wu   +7 more
doaj   +1 more source

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