Privacy, applied

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Visible to the public TWC: Medium: Collaborative: Flexible and Practical Information Flow Assurance for Mobile Apps

This project is developing tools and techniques for cost-effective evaluation of the trustworthiness of mobile applications (apps). The work focuses on enterprise scenarios, in which personnel at a business or government agency use mission-related apps and access enterprise networks.

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Visible to the public CAREER: Private Communication in Strongly Adversarial Networks

The ability to communicate and readily access information helps make possible positive social and political change. The Internet's effects on developing nations' educational, economic, and governmental institutions have been well explored by social scientists and technical experts. However, in unfortunately many instances, undemocratic governments monitor and censor Internet communication to attempt to control their populations.

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Visible to the public TC: Large: Collaborative Research: Privacy-Enhanced Secure Data Provenance

Data provenance refers to the history of the contents of an object and its successive transformations. Knowledge of data provenance is beneficial to many ends, such as enhancing data trustworthiness, facilitating accountability, verifying compliance, aiding forensics, and enabling more effective access and usage controls. Provenance data minimally needs integrity assurance to realize these benefits.

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Visible to the public TC: Large: Collaborative Research: Practical Secure Two-Party Computation: Techniques, Tools, and Applications

Many compelling applications involve computations that require sensitive data from two or more individuals. For example, as the cost of personal genome sequencing rapidly plummets many genetics applications will soon be within reach of individuals such as comparing one?s genome with the genomes of different groups of participants in a study to determine which treatment is likely to be most effective. Such comparisons could have tremendous value, but are currently infeasible because of the privacy concerns both for the individual and study participants.

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Visible to the public TC: Large: Collaborative Research: Privacy-Enhanced Secure Data Provenance

Data provenance refers to the history of the contents of an object and its successive transformations. Knowledge of data provenance is beneficial to many ends, such as enhancing data trustworthiness, facilitating accountability, verifying compliance, aiding forensics, and enabling more effective access and usage controls. Provenance data minimally needs integrity assurance to realize these benefits.

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Visible to the public TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level and Relational Data

Safely managing the release of data containing confidential information about individuals is a problem of great societal importance. Governments, institutions, and researchers collect data whose release can have enormous benefits to society by influencing public policy or advancing scientific knowledge. But dissemination of these data can only happen if the privacy of the respondents' data is preserved or if the amount of disclosure is limited.

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Visible to the public EAGER: Privacy in Citizen Science: An Emerging Concern for Research and Practice

Citizen science is a form of collaboration where members of the public participate in scientific research. Citizen science is increasingly facilitated by a variety of wireless, cellular and satellite technologies. Data collected and shared using these technologies may threaten the privacy of volunteers. This project will discover factors which lead to, or allieviate, privacy concerns for citizen science volunteers.

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Visible to the public TWC: Small: Online tracking: Threat Detection, Measurement and Response

The project develops new technologies for continual, web-scale measurement and rapid defenses against emerging threats to web privacy and security arising from third-party tracking. It draws from the fields of web security, systems, measurement, statistics, and machine learning. The outputs of this project will enable website administrators to find and fix a large class of privacy and security problems. They will help improve existing browser privacy tools.

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Visible to the public ETHICS OF DATA AGGREGATION: PRIVACY, TRUST, AND FAIRNESS

This project closely examines data aggregation to understand what types of aggregation are normatively and descriptively important to individuals and how do different types and degree of aggregation impact individual trust. This proposed research would advance knowledge and understanding within the study of big data, trust, and business ethics. Initial investigations into data aggregation have been technical to ensure accuracy and diminish unwanted bias.

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Visible to the public TWC: Medium: Collaborative: Studying Journalists to Identify Requirements for Usable, Secure, and Trustworthy Communication

This research focuses on understanding the digital security and privacy needs of journalists and their sources to evaluate and design communication technologies that better support the fundamental operations of a globally free and unfettered press. Journalists -- along with their organizations and sources -- are known to be high-risk targets for cyberattack. This community can serve as a privacy and security bellwether, motivated to use new technologies, but requiring flexibility and ease-of-use. Many existing secure tools are too cumbersome for journalists to use on a regular basis.