Project Grant 2433628
- 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...
- This $13,843 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research to develop new computer systems that allow organizations to gain insights from large datasets while keeping individual information completely private. The key research objectives are to: 1) develop new protocols for privacy-preserving data collection that enable servers to compute aggregate statistics over client data without...
- This Project Grant award from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) provides $250,000 in funding to Rutgers, The State University of New Jersey to develop the fundamental principles for the systematic study of synthetic data. The research aims to establish properties of synthetic data, formal definitions of "synthetic", and a comprehensive evaluation framework including...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $279,959 to Carnegie Mellon University to advance the frontiers of differential privacy algorithms for private learning and synthetic data generation. The 5-year research project aims to develop a theoretical framework to better capture practical privacy scenarios, design practical privacy-preserving algorithms, and create auditing...
- 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 $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 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 $174,995 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant, awarded to the San Diego State University Research Foundation, aims to develop methods for applying differential privacy techniques to provenance graphs, which track the origin, usage, and modifications of data. The project has two main thrusts: 1) Identifying privacy risks in current provenance-based machine learning...
- 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 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...
The National Science Foundation (NSF) awarded a $538,133 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to Rutgers, The State University (Newark Division) to conduct research on privacy-preserving data analysis algorithms for continuously generated online data. The key focus of this 3-year project (August 1, 2025 - July 31, 2028) is to develop novel algorithms that can perform statistical analysis on sensitive user data while guaranteeing robust privacy protections through the use of differential privacy techniques. The research aims to overcome limitations of existing continual data analysis algorithms and enable large-scale implementation of privacy-preserving data processing methods. The project's broader significance is to advance foundational mathematical and computer science research in areas like learning theory, statistical inference, and secure multi-party computation to prioritize user privacy for a wide range of data analysis tasks.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $538.1k | 7/24/25 |