Project Grant 2451972
- This federal Project Grant award for $599,725 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a system for verifiable fully homomorphic encryption (FHE). The project aims to advance privacy-preserving data sharing and analysis by enabling computations on encrypted data without decryption, while also ensuring integrity and verifiability. Key research thrusts include designing near-zero-cost verifiable...
- This $174,810 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research at Northern Arizona University (NAU) to optimize resource-intensive operations in existing fully homomorphic encryption schemes and integrate the optimized algorithm into federated learning frameworks. The project aims to enhance security in Internet of Things communications by enabling secure data analysis on encrypted data...
- 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...
- The National Science Foundation (NSF) awarded a $303,174 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Ciphersonic Labs Inc., a for-profit organization located in Cambridge, MA. The objective of this SBIR Phase I project is to develop and evaluate a new cryptographic protocol called MCFHE that efficiently combines the strengths of Fully Homomorphic Encryption (FHE) and Secure Multi-Party Computation (MPC). The resulting technology aims to enable...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Northeastern University focused on developing doubly efficient Private Information Retrieval (DEPIR) and fully homomorphic encryption for random-access machines. The key goals of the project are to: 1) achieve practical efficiency for DEPIR and fully homomorphic encryption techniques, 2) explore alternative cryptographic...
- This Project Grant award, titled "SHF: SMALL: APPLICATION-AWARE HOMOMORPHIC ENCRYPTION FOR NEURAL NETWORKS: FROM ALGORITHM TO HARDWARE ACCELERATORS", was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a total of $404,113. The project aims to speed up homomorphic encryption (HE) implementations by orders of magnitude, expanding the privacy-preserving capabilities of cloud computing for applications...
- This $240,062 project grant, awarded by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), aims to develop efficient and scalable hardware architectures for privacy-preserving neural network inference based on ciphertext-ciphertext fully homomorphic encryption (FHE). The research will focus on designing optimized hardware building blocks, such as polynomial multipliers, and a reconfigurable FHE architecture that...
- This federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, is funding the development of a novel programming and compilation framework to facilitate the use of fully homomorphic encryption (FHE) in general privacy-preserving applications. The $174,999 grant awarded to the Illinois Institute of Technology (IIT) aims to create a domain-specific language and optimized compiler to improve the...
- This $350,000 Project Grant awarded by the National Science Foundation's (CFDA 47.049 Mathematical and Physical Sciences) program will support collaborative research to improve lattice-based cryptography, which is essential for secure digital communications. The project aims to develop more efficient lattice constructions, faster algorithms for lattice operations, and advanced cryptographic applications based on recent mathematical advances in number theory and small root discriminants. Key...
- This $349,203 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University will support research to explore new sources of hardness and cryptographic assumptions, with the goal of advancing techniques for encrypted computation, including multi-party computation and homomorphic encryption. The project aims to systematically study code-based, multivariate, and lattice-based...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) will develop a novel threshold homomorphic encryption scheme that addresses limitations in current homomorphic encryption approaches for cloud computing. The $107,663 award, starting October 1, 2025 and concluding September 30, 2027, will fund research at Arizona State University to create an encryption scheme that avoids the need for trusted setups, maintains constant ciphertext size regardless of the number of users, and supports asynchronous operations. The research will also develop protocols to ensure security in the presence of malicious clients and servers, enable variable threshold access levels, and incorporate hardware-based security mechanisms. These innovations will be applied to real-world scenarios such as federated learning and heavy hitter detection, with resulting tools implemented in a publicly available software library. The project aims to advance the theory and practice of secure multiparty computation with broader impacts across privacy-preserving data analysis, cybersecurity, distributed systems, finance, and healthcare.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $107.7k | 7/23/25 |