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SHF: Small: Practical Privacy-preserving AI Offloading with Hybridizing Multi-party Computing and Strongly-secure Hardware

US NSF grant open #nsf-2529883

Summary

When users interact with modern artificial intelligence (AI) services, they often transmit their data to the service provider. For example, individuals seeking to enhance their resumes using tools like ChatGPT must upload their resumes to the service. Those using AI-powered health monitoring devices send their biomedical signals to the provider's AI model. These interactions pose significant privacy risks, as the service provider gains access to potentially sensitive information, such as the user's address in the resume or the user's biomedical data. Existing solutions to mitigate these risks

SHF: Small: Practical Privacy-preserving A…
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