Project Grant 2232061
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program project grant, awarded to Purdue University for $600,000 on December 1, 2023, aims to improve the security and efficiency of secure multi-party computation (MPC) technology. MPC enables computations on private data without revealing non-essential information, facilitating collaboration in social, scientific, commercial, and security domains while maintaining privacy. The project will build a...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $374,291 to Brown University to develop novel tools and techniques for secure multi-party computation (MPC), with a focus on expanding the use cases of private set intersection (PSI). The project aims to bridge the gap between standard PSI and more enriched PSI functionalities, enabling large-scale, privacy-preserving data analytics across...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded $164,999 to the Research Foundation of the City University of New York (performing at City College in New York, NY) under the Computer and Information Science and Engineering program (CFDA 47.070) effective July 1, 2025, through June 30, 2027. This CRII (Computer Research Initiation for Excellence) award supports research aimed at reducing the computational costs and overhead...
- This Project Grant from the National Science Foundation Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $400,000 to support research activities focused on improving the efficiency of secure multi-party computation (MPC) techniques. Specifically, the award funds a research collaboration led by Georgia Tech Research Corporation from April 2023 to March 2027 to explore and implement novel...
- This $600,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) and administered by the Division of Computing and Communication Foundations, supports research at Penn State University from November 1, 2025 through October 31, 2028. The project develops a hybrid privacy-preserving artificial intelligence offloading system that integrates multi-party computing (MPC) with specialized hardware...
- This $599,996 National Science Foundation project grant supports research at Augusta University Research Institute, Inc. to develop new techniques for securely querying massive scientific datasets in cloud environments. Specifically, the grant funds research to extend the state-of-the-art in encrypted data querying methods to better support the distinct characteristics of scientific data and typical queries. Key areas of focus include developing new encryption and query processing techniques...
- This $194,999 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enforce expressive security policies using trusted execution environments. The project aims to advance the state-of-the-art for building secure systems by automatically placing security-critical application components within secure enclaves, reducing the programming challenges. The work includes developing a...
- This four-year, $400,000 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 fund research at the University of Illinois to develop new techniques for secure multi-party computation using garbled RAM. Secure multi-party computation allows mutually untrusting parties to jointly evaluate functions on private data, and garbled RAM is a technique to remove...
- This $209,368 federal Project Grant award from the National Science Foundation's Integrative Activities program (CFDA 47.083) aims to develop trusted, low-overhead tools that enable computation directly on encrypted data. The goal is to accelerate the creation of new capabilities that allow confidential data to be shared with untrusted parties who can extract insights without accessing the unencrypted data. This would increase public trust in modern AI tools and enable data-powered, socially...
- Cornell University was awarded a three-year, $399,999 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 support research collaborations to hybridize trusted execution environments and secure multiparty computation. Specifically, the university researchers will work to advance the development of research cyberinfrastructure that enables and...
This $599,059 National Science Foundation project grant supports the development of secure multi-party computation programming technology at Rensselaer Polytechnic Institute. The goal is to advance compiler frameworks and optimization techniques that allow non-cryptography experts to write efficient privacy-preserving algorithms for applications like machine learning and data analytics. Key deliverables include an intermediate representation for secure computation and novel intra- and inter-procedural optimizations over this representation. Researchers will also develop theoretical foundations for proving the correctness of program transformations. This work directly supports the Computer and Information Science and Engineering program's objective to advance discovery and innovation in computing and information sciences through investigator-initiated research and education. The three-year period of performance began on April 15, 2023 and will contribute to training students in secure computation and systems building.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $599.1k | 4/6/23 |