This National Science Foundation (NSF) Division of Computer and Network Systems Project Grant, with the Catalog of Federal Domestic Assistance (CFDA) number 47.070, will support Northeastern University's research on architecting graphics processing units (GPUs) to accelerate practical homomorphic encryption (FHE)-based computing in cloud environments. The $395,843 award, spanning August 1, 2023 to July 31, 2026, will explore the use of GPUs to accelerate FHE computing across three different...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop new compiler techniques for managing scale in fully homomorphic encryption (FHE) programs. The $218,301 award, effective October 1, 2024 through September 30, 2027, supports three research tasks: 1) a new scale management solution to minimize FHE program latency, 2) an automatic bootstrapping management technique to optimize...
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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $404,113 to The Ohio State University to develop privacy-preserving cloud computing and machine learning capabilities using homomorphic encryption (HE) techniques. The goal is to significantly speed up HE implementations by orders of magnitude, enabling practical privacy-preserving capabilities for cloud service providers. The project will...
This Project Grant award of $599,725.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a system for verifiable fully homomorphic encryption (FHE). The project aims to enable privacy-preserving data sharing and analysis by designing near-zero-cost verifiable algorithms for linear operations in FHE-enabled encrypted computations, integrating an integrity-only trusted execution environment...
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...
The National Science Foundation (NSF) awarded a $299,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to develop novel security approaches for protecting field-programmable gate arrays (FPGAs) used in cloud computing environments. The key objectives of this 3-year project are to introduce secure operating mechanisms and a security and queue management unit (SQMU) to enable controlled sharing of FPGAs...
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...
This $910,624 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) to Trustees of Boston University aims to accelerate the development of trusted, low-overhead tools that enable computation directly on encrypted data. The project will explore a novel paradigm for circuit obfuscation and establish the security and efficiency of a recently proposed scheme for computation on encrypted data, referred to as Encrypted Operator Computing (EOC)....