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CAREER: Toward Physical Security for Privacy-preserving Neural Networks at the Edge

Organization Worcester Polytechnic InstituteLocation WORCESTER, United StatesPosted 1 May 2026Deadline 30 Apr 2031
NSFUS FederalResearch GrantScience FoundationMA
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Neural networks learn patterns from labeled data to output accurate predictions on new inputs. They are increasingly embedded in critical real-world systems, from healthcare wearables and smart homes to autonomous vehicles. These systems often rely on privacy-preserving implementations that keep user inputs and model details hidden from other…

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CAREER: Toward Physical Security for Privacy-preserving Neural Networks at the Edge — Worcester Polytechnic Institute | | Dev Procure