Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

In this paper, we consider the problem of estimating a potentially sensitive (individually stigmatizing) statistic on a population. In our model, individuals are concerned about their privacy, and experience some cost as a function of their privacy loss. Nevertheless, they would be willing to participate in the survey if they were compensated for their privacy cost. These cost functions are not...

We consider the problem of producing item recommendations that are personalized based on a user’s social network, while simultaneously preventing the disclosure of sensitive user-item preferences (e.g., product purchases, ad clicks, web browsing history, etc.). Our main contribution is a privacypreserving framework for a class of social recommendation algorithms that provides strong, formal pri...

Local differential privacy has recently surfaced as a strong measure of privacy in contexts where personal information remains private even from data analysts. Working in a setting where both the data providers and data analysts want to maximize the utility of statistical analyses performed on the released data, we study the fundamental trade-off between local differential privacy and utility. ...

OBJECTIVE To understand adolescents' preferences for multidimensional aspects of privacy, including psychological, social, and physical, and confidentiality (informational privacy) in the health care setting. PATIENTS AND METHODS Fifty-four adolescents with and without chronic illness participated in 12 focus groups composed of participants of the same age (11-14 or 15-19 years), gender, and ...

In recent years, numerous surveys have been conducted to assess attitudes about privacy in the United States, Australia, Canada, and the European Union. Very little information has been published about privacy attitudes in India. As India is becoming a leader in business process outsourcing, increasing amounts of personal information from other countries is flowing into India. Questions have be...

Abstract The growing volumes of data being collected and its analysis to provide better services are creating worries about digital privacy. To address privacy concerns give practical solutions, the literature has relied on secure multiparty computation techniques. However, recent research over rings mostly focused small-party honest-majority setting up four parties tolerating single corruption...

Individuals’ privacy and legal regulations demand genomic data be handled studied with highly secure privacy-preserving techniques. In this work, we propose a feasible Secure Multiparty Computation (SMC) system assisted quantum cryptographic protocols that is designed to compute phylogenetic tree from set of private genome sequences. This significantly improves the security computation t...

Despite ongoing concern about substance use during adolescence, very little is known about alcohol and drug use among teens living in affluent social settings. In this longitudinal study, cluster analysis was used to characterize patterns of substance use and change in other dimensions of psychosocial adjustment within a cohort of 292 high school students (54% girls) living in an affluent, subu...