Secure, privacy-preserving and federated machine learning in medical imaging
GA Kaissis, MR Makowski, D Rückert… - Nature Machine …, 2020 - nature.com
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …
by limited dataset availability for algorithm training and validation, due to the absence of …
Urban mobility and activity space
KA Cagney, E York Cornwell… - Annual Review of …, 2020 - annualreviews.org
Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …
located data, provide new opportunities to consider the joint influence of mobility and place …
Data citizenship: Rethinking data literacy in the age of disinformation, misinformation, and malinformation
In this paper we examine what" data literacy"-under various definitions-means at a time of
persistent distribution of" dis-/mis-/mal-information" via digital media. The paper first explores …
persistent distribution of" dis-/mis-/mal-information" via digital media. The paper first explores …
Privacy in trajectory micro-data publishing: a survey
We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …
information about the mobility of individuals, whose collection is becoming increasingly …
Differential privacy in blockchain technology: A futuristic approach
Blockchain has received a widespread attention because of its decentralized, tamper-proof,
and transparent nature. Blockchain works over the principle of distributed, secured, and …
and transparent nature. Blockchain works over the principle of distributed, secured, and …
Machine learning in marketing: Overview, learning strategies, applications, and future developments
VA Brei - Foundations and Trends® in Marketing, 2020 - nowpublishers.com
The widespread impacts of artificial intelligence (AI) and machine learning (ML) in many
segments of society have not yet been felt strongly in the marketing field. Despite such …
segments of society have not yet been felt strongly in the marketing field. Despite such …
Developments in privacy and data ownership in mobile health technologies, 2016-2019
HK Galvin, PR DeMuro - Yearbook of medical informatics, 2020 - thieme-connect.com
Objectives: To survey international regulatory frameworks that serve to protect privacy of
personal data as a human right as well as to review the literature regarding privacy …
personal data as a human right as well as to review the literature regarding privacy …
Machine learning against terrorism: how big data collection and analysis influences the privacy-security dilemma
Rapid advancements in machine learning techniques allow mass surveillance to be applied
on larger scales and utilize more and more personal data. These developments demand …
on larger scales and utilize more and more personal data. These developments demand …
Assessing disease exposure risk with location histories and protecting privacy: A cryptographic approach in response to a global pandemic
Governments and researchers around the world are implementing digital contact tracing
solutions to stem the spread of infectious disease, namely COVID-19. Many of these …
solutions to stem the spread of infectious disease, namely COVID-19. Many of these …
Representing fine-grained co-occurrences for behavior-based fraud detection in online payment services
The vigorous development of e-commerce breeds cybercrime. Online payment fraud
detection, a challenge faced by online service, plays an important role in rapidly evolving e …
detection, a challenge faced by online service, plays an important role in rapidly evolving e …