The National Science Foundation (NSF) awarded a $108,385 Computer and Information Science and Engineering (CFDA 47.070) Project Grant to New York University (NYU) to develop novel hardware and software techniques to substantially improve the computational efficiency of privacy-preserving computation. The goal is to "speedup privacy-preserving computation to a practical level, providing users unparalleled privacy guarantees while simultaneously providing access to online services now integral to everyday life." The project will explore accelerating both arithmetic and Boolean privacy-preserving computation through custom hardware designs and optimized software frameworks. Additionally, the project will develop educational materials on these new privacy-preserving computation techniques for K-12, university, and professional audiences. The grant award period runs from February 1, 2024 to January 31, 2029.
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