This $180,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new methods for privacy-preserving data sharing and collaborative analysis of mobile internet measurement data. The collaborative project involving researchers from the University of Nebraska-Lincoln, Utah State University, and the University of Wisconsin-Madison will focus on: 1) Developing quality-explainable data synthesis and...
This three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $299,619 to the University of Virginia to lay the foundations for differentially private Internet measurement. Specifically, the award supports three main research thrusts. The first will study existing privacy issues in collecting and sharing Internet measurement data and develop an...
This National Science Foundation project grant of $300,000 will fund foundational research on differentially private Internet measurement from October 2022 to September 2025. Under the Computer and Information Science and Engineering program, researchers at the University of California Irvine will conduct three thrusts of work to lay the groundwork for deploying differential privacy in processing Internet measurement data. Specifically, Thrust 1 will study existing practices for collecting and...
The National Science Foundation (NSF) awarded a $330,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of California, Los Angeles (UCLA) to develop an innovative "MobilityNet" cyberinfrastructure (CI) tool. This tool will leverage privacy-preserving generative machine learning to synthesize realistic, sanitized mobility data that can be shared with the science and engineering community to enable...
The National Science Foundation Division of Computer and Network Systems awarded a $199,076 Project Grant to the FPF Education And Innovation Foundation for collaborative research titled "A Large-Scale, Longitudinal Resource to Advance Technical and Legal Understanding of Textual Privacy Information." The three-year award runs from July 1, 2021 to June 30, 2024 under the Computer and Information Science and Engineering program (CFDA #47.070). The grant will support the development of a...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal Project Grant award of $370,000 to Florida State University (FSU) will fund the development of "MobilityNet", a trustworthy cyberinfrastructure (CI) emulation tool to synthesize realistic mobility data using privacy-preserving generative machine learning. The goal is to provide the science and engineering community with diverse, sanitized mobility datasets to enable...
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...
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 $1,566,132 to fund the development of MobilityNet, a trustworthy cyberinfrastructure (CI) emulation tool for generating and sharing realistic, privacy-preserving mobility data. The primary objectives are to: (1) synthesize diverse mobility data using privacy-preserving generative machine learning techniques, and (2) share the...
This three-year $599,999 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research into novel methods for computing aggregate statistics on streaming data in a privacy-preserving manner. Specifically, the University of California, Los Angeles will explore efficient algorithms to privately compute telemetry data from user devices sending...
This Project Grant award, valued at $199,997.00, was granted by the National Science Foundation (NSF) under its Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award, titled "Advancing Privacy and Security in Complex Networks by Statistical Algorithms: Safeguarding, Monitoring, and Remediation," focuses on improving data privacy and security within complex networks through a comprehensive strategy. The key products and services to be delivered under this...