ERC Starting Grant · 2024
Privacy-Preserving Large-Scale Computation: Foundations and Applications
In In the era of exponential growth in available data, privacy and security have become paramount concerns for a wide range of domains, including healthcare, financial services, and many more. Classical tools developed in the cryptography community, e.g., the ability to perform computation on encrypted data without revealing the underlying information, could have the potential to address these challenges. However, most results do not fit modern large-scale distributed settings due to communication and storage limitations. A recent line of work attempts to bridge this gap, yet, existing solutions are still highly unsatisfactory since they assume either strong trusted setup assumptions, rely…
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