Project Grant 2553435
- Federal Grant Award Summary San Diego State University Research Foundation received a $174,995 Computer and Information Science and Engineering (CISE) Project Grant (CFDA 47.070) from the National Science Foundation's Division of Computer and Network Systems, awarded October 1, 2025, with completion targeted for September 30, 2027. This Computer Research Infrastructure Initiative (CRII) project delivers foundational research and methodologies addressing the integration of differential privacy...
- This $538,133 Project Grant, awarded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), funds research on privacy-preserving statistical analysis of continuously generated sensitive data. The project, which runs from August 1, 2025 through July 31, 2028 and is performed at Rutgers University's Newark campus, develops novel algorithms that enable robust differential privacy...
- Federal Project Grant Award Summary Harvard College received an $800,000 project grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084), awarded October 1, 2025, with a completion date of September 30, 2028. The award supports development of freely available software tools for implementing differentially private machine learning, addressing critical privacy vulnerabilities in artificial intelligence systems trained on sensitive...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded $347,985 to The Trustees of the Stevens Institute of Technology under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a CAREER award titled "Privacy-Aware Just-In-Time Compilation." Funded from October 1, 2025, through September 30, 2030, this project will develop a security-aware just-in-time (JIT) compilation framework designed to...
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded the University of Miami a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on March 1, 2026, with a completion date of February 28, 2029. This collaborative U.S.-Germany research initiative develops a zero trust framework for Integrated Sensing and Communication (ISAC) systems operating over 5G and beyond cellular networks....
- Federal Grant Award Summary The University of Alabama received a $310,043 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective January 1, 2026 through November 30, 2026. This collaborative research initiative focuses on implementing differential privacy (DP) mechanisms directly into embedded memory systems rather than relying on traditional...
- Federal Project Grant Award Summary Northeastern University received a $420,000 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025 through July 31, 2029. This collaborative research initiative addresses privacy and fairness challenges in advanced genomic research by developing federated learning solutions for multi-cohort...
- Federal Grant Award Summary The Pennsylvania State University received a $379,224 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective July 15, 2025, with completion by June 30, 2030. This CAREER award funds research to develop privacy auditing frameworks and defensive mechanisms for machine learning (ML) models trained on tabular data. The...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER (Computer and Information Science and Engineering, CFDA 47.070) Project Grant of $377,003 to the University of California, Berkeley, effective January 1, 2026 through April 30, 2030. This award supports the development of a cryptographic toolbox enabling privacy-preserving web services that process user data in encrypted form, preventing service providers...
- Federal Project Grant Award Summary Worcester Polytechnic Institute received a $369,231 CAREER award from the National Science Foundation's Division of Computer and Network Systems (CFDA 47.070: Computer and Information Science and Engineering) beginning May 1, 2026, with completion targeted for April 30, 2031. This research project addresses critical security vulnerabilities in privacy-preserving neural networks deployed at the edge by developing a comprehensive vulnerability assessment...
Swarthmore College received a $248,362 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 1, 2026 through May 31, 2029. This Research in Undergraduate Institutions (RUI) award supports the development of privacy-preserving techniques for sharing network data. The project delivers mathematically rigorous, differentially private mechanisms designed across three primary thrusts: (1) single network provider data sharing for edge computing services while protecting individual users; (2) sequential mobility trace release using machine learning models with formally calibrated noise; and (3) collaborative multi-provider settings for joint statistical computation without exposing raw traffic data or identifiers. The project produces end-to-end algorithms, formal privacy guarantee analyses, and empirical evaluations on real network datasets. Deliverables include privacy-preserving mechanisms applicable to fine-grained workload traces, device mobility patterns across wireless networks, and aggregated statistics such as heavy hitter Internet Protocol prefixes and intersection counts. The work integrates privacy-preserving data analysis into undergraduate education and focuses on technology transfer to the networking community, addressing the critical need for secure data sharing that enables network optimization without compromising individual or organizational privacy.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $248.4k | 4/24/26 |