Increase Transparency of Data
group_project
Submitted by Farinaz Koushanfar on Mon, 12/18/2017 - 2:44pm
The growing hardware security community is faced with an immediate need to develop effective tools and benchmarks. The purpose of this project is to lead a community-wide movement toward stronger assurances in our integrated circuits, computational platforms, and electronics supply chain.
group_project
Submitted by asarwate on Mon, 12/18/2017 - 2:18pm
Medical technologies such as imaging and sequencing make it possible to gather massive amounts of information at increasingly lower cost. Sharing data from studies can advance scientific understanding and improve healthcare outcomes. Concern about patient privacy, however, can preclude open data sharing, thus hampering progress in understanding stigmatized conditions such as mental health disorders.
group_project
Submitted by lalithasankar on Mon, 12/18/2017 - 2:13pm
Information sharing between operators (agents) in critical infrastructure systems such as the Smart Grid is fundamental to reliable and sustained operation. The contention, however, between sharing data for system stability and reliability (utility) and withholding data for competitive advantage (privacy) has stymied data sharing in such systems, sometimes with catastrophic consequences. This motivates a data sharing framework that addresses the competitive interests and information leakage concerns of agents and enables timely and controlled information exchange.
group_project
Submitted by Rachel Greenstadt on Mon, 12/18/2017 - 2:06pm
Increasing amounts of data are being collected about users, and increasingly sophisticated analytics are being applied to this data for various purposes. Privacy analytics are machine learning and data mining algorithms applied by end-users to their data for the purpose of helping them manage both private information and their self-presentation.
group_project
Submitted by cardenas on Mon, 12/18/2017 - 1:59pm
This project focuses on tackling the security and privacy of Cyber-Physical Systems (CPS) by integrating the theory and best practices from the information security community as well as practical approaches from the control theory community. The first part of the project focuses on security and protection of cyber-physical critical infrastructures such as the power grid, water distribution networks, and transportation networks against computer attacks in order to prevent disruptions that may cause loss of service, infrastructure damage or even loss of life.
group_project
Submitted by Apu Kapadia on Thu, 12/14/2017 - 8:08pm
Social networking and sensor-rich devices such as smartphones are becoming increasingly pervasive in today's society. People can share information concerning their location, activity, fitness, and health with their friends and family while benefiting from applications that leverage such information. Yet, users already find managing their privacy to be challenging, and the complexity involved in doing so is bound to increase.
group_project
Submitted by sandhutx on Wed, 12/13/2017 - 2:17pm
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.
group_project
Submitted by John Abowd on Fri, 12/08/2017 - 3:03pm
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.
group_project
Submitted by Shyam Sundar on Tue, 12/05/2017 - 9:46pm
In individual pursuits of personalized service and other functionalities, people disclose personal and private information by trusting certain online sites and services. Scholars often assume that such trust is based on a careful assessment of the benefits and risks of disclosing information online. This project departs from such an assumption and investigates the possibility that decision-making about online information disclosure is not systematic, but rather based on cognitive heuristics (or mental shortcuts) triggered by cues in the interaction context.
group_project
Submitted by kshilton on Tue, 12/05/2017 - 9:31pm
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.
