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...
The National Science Foundation awarded a $500,000 project grant to the University of Illinois under the Computer and Information Science and Engineering program (CFDA 47.070). The four-year project, beginning October 2022, will research app-driven web browsing risks, vulnerabilities, and defenses. The University of Illinois will design techniques and systems to uncover inherent security flaws in the technologies powering non-browser apps that enable web browsing. Researchers will implement...
The University of Illinois was awarded a $483,610 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from January 1, 2022 through December 31, 2024 to develop defenses for deception of smartphone software applications for users with disabilities. The Computer and Information Science and Engineering program supports...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $166,924 aims to enhance privacy leak detection in mobile applications by identifying and analyzing sources of domain-sensitive user data. The key products and services to be delivered include: Conducting a crowdsourcing study to categorize domain-sensitive data within mobile app user interfaces. Developing a novel approach using static and...
The University of Illinois was awarded a $223,670 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on the fundamental limits of cache-aided multi-user private function retrieval. The goal of this 4-year project is to develop a principled framework for privately retrieving the output of complex functions based on both locally-computed data and data received from remote servers, in order to...
This three-year, $439,355 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research into the impact of new privacy regulations on software development practices. The International Computer Science Institute will lead a collaborative effort to study how software developers discuss and implement privacy requirements from evolving laws and regulations. The...
The University of Michigan was awarded a $300,000 project grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant will support the development of a large-scale, longitudinal resource to advance technical and legal understanding of textual privacy information. The University of Michigan will serve as the primary awardee, with the project expected to...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Illinois for a 4-year collaborative research project on privacy-preserving machine learning on graph-structured data. The project aims to develop innovative, efficient algorithms for training and updating large-scale graph neural network models while preserving the privacy of sensitive graph data across applications in areas...
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 to...
The National Science Foundation awarded a $299,999 Project Grant to the University of California, Los Angeles (UCLA) to assess the relationship between privacy regulations and software development, with the goal of improving rulemaking and compliance. The grant, funded through the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support a multidisciplinary research effort combining legal and engineering expertise. The key products and services to be...