Previousstudies,bothinpsychologyandlinguistics, have shown that people with mental health disorders deviate from normal language use, and that these de- viations can be used as a …

Abstract: Recent studies have shown that machine learning can identify individuals with mental illnesses by analyzing their social media posts. Topics and words related to mental health are …

Abstract: Rapid advances in human genomics are enabling researchers to gain a better understanding of the role of the genome in our health and well-being, stimulating hope for …

The survey included abstract risk scenarios as well as specific risk scenarios, which describe specifically how collected data can be abused, e.g., to stalk someone or to plan burglaries. To …

For example, if synthetic health-related images (i.e., generated by generative models) are used for research purposes, discover- ing that a specific record was used for training leaks informa …

portedly mine social media data along with other clinical information to assess health care ri ks and insurance premiums [5]. Businesses are also increas-ingly using social media to screen …

queries (SPQs) are of utmost importance to medical practice and will be relied upon in future health infor-mation exchange systems. While privacy-preserving so-lutio man-ner with various …

Fine-grained collection of sensordatacontainshighlysensitiveinformationabout users:imagesandvideoscapturedbycamerasonsmart …

1 Introduction some degree of privacy (e.g., health care, banking, and sup-ply chain management applications). Generally, trans-actions privacy ca loo, E-mail: [email protected] Guan

Wang et al. [61] analyzed 80 health and finance appsforcompliancewiththeirprivacypolicies,detect- …