Project Grant 2247059

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Amherst, MA 01003, USA
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This $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Northeastern University to improve the security of machine learning models in multi-tenant cloud field programmable gate array (FPGA) environments. The three-year award aims to advance understanding of vulnerabilities in cloud-FPGAs shared by multiple tenants, where a malicious actor could potentially manipulate another tenant's machine learning...
This Project Grant award of $246,516 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the security and robustness of machine learning (ML) systems in multi-tenant cloud FPGA (field programmable gate array) environments. The project aims to: (1) understand the vulnerabilities of ML cloud-FPGA systems and explore defensive approaches; (2) advance the security of ML cloud systems against hardware-based model...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, with a total award of $225,934, supports research to study and mitigate "FPGA pentimenti" - the leakage of data between subsequent users of cloud-based field programmable gate arrays (FPGAs) due to analog side channel effects. The project, titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: PENTIMENTI - SECURING CLOUD FPGAS FROM ANALOG TEMPORAL SIDE CHANNELS", aims to...
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This Project Grant award, valued at $189,509.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The project, titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: PENTIMENTI - SECURING CLOUD FPGAS FROM ANALOG TEMPORAL SIDE CHANNELS", will be performed by the University of Washington. The project aims to study and develop techniques for securing cloud-based Field Programmable Gate Arrays (FPGAs)...
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant award, with a total funding amount of $247,059, supports a collaborative research project titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: PENTIMENTI - SECURING CLOUD FPGAS FROM ANALOG TEMPORAL SIDE CHANNELS". The project, awarded on December 1, 2024 and with an ultimate completion date of November 30, 2028, studies and develops mitigations for "FPGA...
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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 among multiple users without compromising data security, performance, or energy efficiency. The project aims to prevent attacks that could steal, corrupt, or physically damage user data and the data center infrastructure. The research seeks to make cloud computing platforms more secure and easier to use, while also promoting FPGA security education and further research in this area.

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