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A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

We have been under the assumption that the encryption that protects our bank accounts, patient records, and government ...

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

Abstract: Data confidentiality, a fundamental security element for dependable cloud storage, has been drawing widespread concern. Public-key encryption with keyword search (PEKS) has emerged as a ...