The National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) awarded the University of Rochester $147,846 on June 15, 2024 to conduct research on security vulnerabilities in mobile computing platforms with shared memory. The project aims to uncover security threats that could enable malicious parties to circumvent protection mechanisms and extract sensitive information by monitoring data access patterns. The research will...
This $206,542 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to Indiana University will fund research to address privacy accountability challenges in the mobile software supply chain. The key objectives are: 1) understanding privacy accountability risks in third-party mobile code modules, 2) designing a privacy-accountable disclosure framework, and 3) continuously enforcing privacy accountability during...
This $150,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA Program 47.070 "Computer and Information Science and Engineering". The award, effective July 1, 2023 through June 30, 2024, supports collaborative research on safeguarding the emerging "miniapp" paradigm within mobile "super apps". The research aims to investigate new security and privacy threats, design secure miniapp APIs, and...
The International Computer Science Institute (ICSI) was awarded a $200,000 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) for the period of June 1, 2023 through May 31, 2026.
Under this award, ICSI will measure, validate and improve privacy labels for mobile applications. The organization will study how these labels currently work for app developers, app store administrators and end users, and analyze mobile...
This $175,000 two-year Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of novel local differential privacy techniques to significantly improve the privacy-utility tradeoff in multi-attribute data analysis. The Rochester Institute of Technology will develop techniques exploiting correlation in multi-attribute data and correlated random...
The National Science Foundation (NSF) awarded a $177,308 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Trustees of the Colorado School of Mines, doing business as Colorado School of Mines. The grant supports a collaborative research project to explore security vulnerabilities in mobile computing platforms with shared memory. The research aims to uncover potential side-channel attacks that could be used to extract sensitive...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $180,000 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop new methods for privacy-preserving mobile internet measurement and traffic analytics.
The key objectives of this 2-year project are to: 1) develop quality-explainable data synthesis and augmentation techniques, 2) create...
This $299,993 National Science Foundation project grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop privacy-preserving models leveraging mobility data for public health purposes. The award was made to Florida A&M University on January 1, 2022 for work concluding December 31, 2023. A sub-award of $TBD was also provided to the University of West Florida to support this research. Through this funding, the awardees will deliver...
The University of Illinois was awarded a $200,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research measuring, validating and improving upon app-based privacy nutrition labels for smartphones. Over a three year period ending in May 2026, the University will apply mixed methods including usability testing, comprehension studies, and multivariate regressions to study how privacy...
This three-year, $110,645 project grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), supports research into the implementation of privacy in software systems by software developers. The Stanford University research team will examine discussions among developers in response to new privacy regulations and laws, related code updates in public repositories, and developer reactions...