CICI: UCSS: Secure Machine Learning as a Service for Collaborative Scientific Research — NSF Award to Florida State University (FL
Scientific progress increasingly depends on sharing powerful machine learning models across stakeholders, especially in sensitive fields like medicine, genomics, and disaster response. Machine Learning as a Service (MLaaS) allows researchers to collaborate without directly exchanging proprietary machine learning models
| Award title | CICI: UCSS: Secure Machine Learning as a Service for Collaborative Scientific Research |
|---|---|
| Award ID | 2530786 |
| Awardee | Florida State University |
| City | TALLAHASSEE |
| State | FL |
| Amount obligated | $600,000 |
| Principal investigator | Yushun Dong |
| Program | Cybersecurity Innovation |
| Start date | 01/01/2026 |
| Abstract | Scientific progress increasingly depends on sharing powerful machine learning models across stakeholders, especially in sensitive fields like medicine, genomics, and disaster response. Machine Learning as a Service (MLaaS) allows researchers to collaborate without directly exchanging proprietary machine learning models or private data. However, these systems face serious and growing security vulnerabilities. Adversaries can steal models, reconstruct sensitive inputs, or intercept private data in |
| Source | NSF Awards |
$799/mo
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