Project Grant 2246354
- 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 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 $164,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop techniques to reduce the cost of secure multiparty computation (MPC) for collaborative data science in the cloud. The project will build MPC capabilities on top of discounted cloud "spot instances" and study how dynamic MPC protocols can handle instances being revoked. This will produce the first MPC system tailored for...
- 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...
- 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...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $286,991 to Georgia Tech Research Corporation to develop new theoretical frameworks, analyses, and techniques for distributed computing and machine learning. The key goals are to: (i) accelerate computation time by overcoming system bottlenecks, (ii) ensure accurate computation in the presence of hardware errors and faults, and (iii) enable data-processing...
- This $92,337 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research by Arizona State University (ASU) to develop a novel threshold homomorphic encryption scheme. The project aims to create a secure multiparty computation solution that avoids the need for trusted setups, maintains constant ciphertext size, and supports asynchronous operations. The research will also develop protocols...
- This federal Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a novel data security technology that enables organizations to collaboratively analyze encrypted data. The $303,174 award to Ciphersonic Labs Inc. (UEI: FSUGJKZRV285) will fund the development and evaluation of a cryptographic protocol called MCFHE that efficiently combines fully homomorphic encryption (FHE) and secure multi-party...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant (CFDA 47.070) awarded $160,493 to the Georgia Tech Research Corporation to conduct collaborative research at the intersection of distributed cryptography and blockchain technologies. The key objectives are: (1) developing a common framework and language to bridge the gap between cryptography and distributed computing research on emerging technologies like blockchain; (2) investigating the...
- Carnegie Mellon University was awarded a $350,000 project grant from the National Science Foundation for the period of April 1, 2021 through March 31, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program, which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, the grant will fund research into foundations and constructions for securely executing...
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 approaches for efficiently handling random access memory in MPC protocols. The researchers aim to significantly advance techniques like Garbled RAM that remove interactivity from MPC evaluations involving memory accesses, thereby enabling more efficient general-purpose MPC tools. The project scope includes improving Garbled RAM efficiency, applying it to richer computational settings, understanding its theoretical and practical limitations, enhancing the underlying cryptographic assumptions, and developing software prototypes.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 2/23/23 |