Project Grant 2412357
Award Date 1/1/24
Completion Date 3/31/26
Dollars Obligated $240K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Somerville, MA 02144, USA
Similar Awards
- 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 federal 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 application-aware homomorphic encryption algorithms and hardware accelerators for enabling privacy-preserving cloud computing and machine learning. The 3-year project, starting on December 15, 2024, aims to dramatically improve the speed of homomorphic encryption implementations, which...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award to the University of Southern California (USC) provides $599,992 from Oct 1, 2023 to Sep 30, 2026 to develop a portable and configurable library to enable secure, resilient, and trustworthy cyberinfrastructure for end-to-end privacy-sensitive machine learning (ML) inference. The key products and services to be delivered under this award include: An L1 library of FPGA-accelerated...
- This $149,156 project grant, awarded on October 1, 2023 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, will fund the development of custom hardware accelerators for privacy-preserving image processing using homomorphic encryption. The key products to be delivered include: Hardware accelerators for homomorphic encryption-based noise cancellation and contrast enhancement of images, leveraging numerical approaches for division and min/max...
- The National Science Foundation (NSF) awarded a $581,966 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Pittsburgh. The grant, awarded on May 1, 2024, with a completion date of April 30, 2027, supports the development of a hardware-software co-design framework to address performance and memory space issues for privacy protection in cloud-based deep learning recommendation systems (DLRMs). Key project objectives include: 1)...
- 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 $599,725 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a system for verifiable fully homomorphic encryption (FHE) at the University of Central Florida. The project aims to ensure both the integrity and verifiability of FHE computations, enabling safer and broader applications of this privacy-preserving technology in sensitive domains. The key research thrusts include designing...
- 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 $173,754 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an innovative privacy-preserving federated learning (FL) framework suitable for heterogeneous edge devices. The key objectives are to: 1) enable tailored device-specific models to mitigate biases and enhance performance across diverse computational capabilities and data distributions, 2) utilize differential privacy...
- This $274,356 Project Grant was awarded on September 1, 2023 by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) federal grant program. The funding will support the development of a secure image recognition and machine learning solution using advanced cryptography by L-Infinity Labs, Inc., a for-profit organization. The goal is to adapt existing deep neural network models to use fully homomorphic encryption in order to perform image...