Project Grant 2052185

Award Date 7/1/21
Completion Date 3/31/22
Dollars Obligated $256K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Los Altos Hills, CA 94022, USA
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This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) is focused on accelerating privacy-preserving machine learning as a service. The key objectives are to: (1) orchestrate information representation and model sparsity in the encryption domain to reduce memory and computation footprint; (2) overcome high overhead associated with multi-party computation (MPC)-based solutions through techniques like...
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Semiotic AI, Inc. received a $256,000 Small Business Innovation Research Phase I Project Grant from the National Science Foundation to accelerate machine learning on encrypted data from July 1, 2021 to March 31, 2022.

Funded through the NSF's Engineering program (CFDA #47.041), which seeks to improve quality of life and economic strength through engineering innovation and excellence, the project aims to develop techniques that enable machine learning to be performed directly on encrypted data without decrypting it first. This could allow for privacy-preserving analytics on sensitive data across many domains. The one-year grant will support initial research toward creating algorithms and tools to securely outsource machine learning tasks to third parties while keeping the underlying data encrypted.

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