Results 51 to 60 of about 278,242 (279)
Differentially Private Empirical Risk Minimization [PDF]
, 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 Utility Mining: A Survey
, 2018 In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore these ubiquitous data, which may be collected from various fields and ...
Chao, Han-Chieh +4 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Secure Outsourcing Algorithm of BTC Feature Extraction in Cloud Computing
IEEE Access, 2020 Advances in cloud computing have aroused many researchers' interest in privacy-preserving feature extraction over outsourced multimedia data, especially private image data. Since block truncation coding (BTC) is known as a simple and efficient technology
Mingfang Jiang, Hengfu Yang
doaj +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
IEEE 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
Smart Meter Privacy: A Utility-Privacy Framework
, 2011 End-user privacy in smart meter measurements is a well-known challenge in the smart grid. The solutions offered thus far have been tied to specific technologies such as batteries or assumptions on data usage.
H. Vincent Poor +7 more
core +2 more sources
Privacy-preserving email forensics
Digital 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]
, 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
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source