Project Grant 2220433
Award Date
10/1/22
Completion Date
9/30/25
Dollars Obligated
$300K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
NEWCOMB HALL, VA 22904, USA
Similar Awards
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 $179,055 Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports collaborative research to develop privacy-preserving algorithms for fundamental problems in graph mining and network science. The project aims to create scalable, accurate graph differential privacy algorithms for applications like healthcare, social networks, finance, and computational...
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 $599,994 Project Grant award was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Vermont & State Agricultural College. The grant supports a 3-year project to design a standardized "Differential Privacy Certificate" (DP Certificate) that can effectively and accountably communicate the actual privacy protections of differential privacy techniques to audiences with...
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...
The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Virginia Polytechnic Institute & State University (Virginia Tech) for the project "COLLABORATIVE RESEARCH: IMR: MM-1B: PRIVACY-PRESERVING DATA SHARING FOR MOBILE INTERNET MEASUREMENT AND TRAFFIC ANALYTICS". The project aims to develop new methods for quality-explainable data synthesis and augmentation,...
The National Science Foundation (NSF) awarded a Project Grant titled "COLLABORATIVE RESEARCH: IMR: MM-1B: PRIVACY-PRESERVING DATA SHARING FOR MOBILE INTERNET MEASUREMENT AND TRAFFIC ANALYTICS" under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Board of Regents of the University of Nebraska, doing business as the University of Nebraska, in the amount of $170,000. The project aims to develop new methods for augmenting mobile internet...
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...
The National Science Foundation awarded a $600,000 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into developing new differentially private stochastic optimization algorithms for training neural networks while preserving individual privacy. Specifically, the grantee will investigate fundamental tradeoffs between privacy and performance in modern...
The National Science Foundation (NSF) awarded a $1.2M Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to enhance the security and privacy of community cyberinfrastructures (CI) for collaborative research. This 3-year project focuses on developing advanced techniques to secure data management and computation within CI systems, including centralized computing, distributed computing, and data computation. The...