We compare the private and social incentives for privacy when sellers can commit to transparent privacy policies that are understood by consumers. The purpose is to establish a baseline for how well markets perform when firms’ privacy policies are common knowledge. In this setting, if the market is competitive, the outcome is first best or firms provide too much privacy. For monopolized markets...

This paper considers the problem of protecting individual anonymity when continuously publishing a stream of location trace information collected from a population of users. Fundamentally, the key challenge that arises in this setting is the presence of evolving data, and in particular, data that evolves in semi-predictable ways. The main contribution of this paper is the first comprehensive fo...

BACKGROUND Child screen viewing (SV) is positively associated with poor health indicators. Interventions addressing rule-based parenting practices may offer an effective means of limiting SV. This study examined associations between rule-based parenting practices (limit and collaborative rule setting) and SV in 6-8-year old children. METHODS An online survey of 735 mothers in 2011 assessed: t...

Always-on video provides rich levels of awareness for collaborators separated by distance, yet it has the potential to threaten privacy as sensitive details may be broadcast to others. This threat increases for telecommuters who work at home and connect to office-based colleagues using video. Our research addresses the problem of how to develop and evaluate privacy-protecting strategies and use...

Social networking sites (SNSs) have become increasingly popular in recent years. These websites allow millions of individuals to create online profiles and disclose information with others. The disclosure of personal information has been considered as a major issue which can lead to negative consequences; therefore, privacy is a major concern of SNSs users. It is important to understand and mea...

Online privacy management research related to e-commerce mainly focuses on whether or not to disclose information. Online social networking (OSN) on the other hand, offers a broader set of privacy management strategies. However, how individuals use these OSN strategies has not yet been studied. We survey college students about a popular OSN website and four privacy management strategies: privac...

Privacy is a major concern of Web systems. Traditional Web systems employ static privacy agreements to notify its users of how their information will be used. Recent social networks allow users to specify some privacy concerns, thus providing a partially personalized privacy setting. However, still privacy violations are taking place because of different privacy concerns, based on context, audi...

The pervasiveness of Internet of Things results in vast volumes of personal data generated by smart devices of users (data producers) such as smart phones, wearables and other embedded sensors. It is a common requirement, especially for Big Data analytics systems, to transfer these large in scale and distributed data to centralized computational systems for analysis. Nevertheless, third parties...

We present RHODE, a novel system that enables privacy-preserving training of and prediction on Recurrent Neural Networks (RNNs) in cross-silo federated learning setting by relying multiparty homomorphic encryption. RHODE preserves the confidentiality data, model, data; it mitigates attacks target gradients under passive-adversary threat model. propose packing scheme, multi-dimensional packing, ...