Assessment of Mental Health Services Available Through Smartphone Apps
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.48784
Abstract: Key Points Question What do mental health smartphone apps offer patients, how has the app landscape changed, and are app popularity metrics associated with privacy? Findings In this cross-sectional study of 578 mental health apps,… read more here.
Keywords: health; assessment mental; privacy; smartphone apps ... See more keywords
How people protect their privacy on facebook: A cost‐benefit view
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.23894
Abstract: Realizing the many benefits from Facebook require users to share information reciprocally, which has overtime created trillions of bytes of information online—a treasure trove for cybercriminals. The sole protection for any user are three sets… read more here.
Keywords: people protect; information; privacy facebook; privacy ... See more keywords
Relatedness and compatibility: The concept of privacy in Mandarin Chinese and American English corpora
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24728
Abstract: This study investigates how privacy as an ethical concept exists in two languages: Mandarin Chinese and American English. The exploration relies on two genres of corpora from 10 years: social media posts and news articles, 2010–2019.… read more here.
Keywords: two languages; chinese american; privacy; concept ... See more keywords
Navigating privacy concerns through societal benefits: A case of digital contact tracing applications
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Consumer Behaviour"
DOI: 10.1002/cb.2029
Abstract: Digital contact tracing (DCT) applications, as a type of location-based application, have been employed in many countries to help mitigate the spread of the COVID-19 virus. However, the emergence of DCTs has amplified concerns over… read more here.
Keywords: government; contact tracing; privacy; digital contact ... See more keywords
Privacy‐preserving quality control of neuroimaging datasets in federated environments
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25788
Abstract: Privacy concerns for rare disease data, institutional or IRB policies, access to local computational or storage resources or download capabilities are among the reasons that may preclude analyses that pool data to a single site.… read more here.
Keywords: neuroimaging datasets; quality; quality control; privacy preserving ... See more keywords
DSVD‐autoencoder: A scalable distributed privacy‐preserving method for one‐class classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22296
Abstract: One‐class classification has gained interest as a solution to certain kinds of problems typical in a wide variety of real environments like anomaly or novelty detection. Autoencoder is the type of neural network that has… read more here.
Keywords: dsvd autoencoder; autoencoder; privacy; one class ... See more keywords
Privacy‐preserving CNN feature extraction and retrieval over medical images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22991
Abstract: Online medicine diagnosis based on pathological images has been regarded as a pervasive method due to the advances in electronic healthcare and Internet of Things (IoT), however, it also causes storage and computing stress on… read more here.
Keywords: retrieval; privacy; privacy preserving; feature extraction ... See more keywords
Security of federated learning for cloud‐edge intelligence collaborative computing
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22992
Abstract: Federated Learning (FL) is one of the key technologies to solve privacy protection for cloud‐edge intelligent collaborative computing, and its security and privacy issues have attracted extensive attention from academia and industry. FL is a… read more here.
Keywords: collaborative computing; federated learning; cloud edge; privacy ... See more keywords
Privacy‐enhancing machine learning framework with private aggregation of teacher ensembles
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23020
Abstract: Private aggregation of teacher ensembles (PATE), a general machine learning framework based on knowledge distillation, can provide a privacy guarantee for training data sets. However, this framework poses a number of security risks. First, PATE… read more here.
Keywords: aggregation; aggregation teacher; framework; privacy ... See more keywords
A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23036
Abstract: Caching and artificial intelligence technology are means to improve the content transmission rate and solve the delay problem in heterogeneous communication networks, which provide an important technical basis for telemedicine diagnosis, disease monitoring, and other… read more here.
Keywords: heterogeneous communication; network; framework; privacy ... See more keywords
Differentially private nonlinear observer design using contraction analysis
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4392
Abstract: Funding information Natural Sciences and Engineering Research Council of Canada, Grant/Award Number: RGPIN-5287-2018 and RGPAS-2018-522686 Summary Real-time information processing applications such as those enabling a more intelligent infrastructure are increasingly focused on analyzing privacy-sensitive data… read more here.
Keywords: contraction analysis; design; model; privacy ... See more keywords