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

Abstract: Several public-key encryption schemes used to solve the problem of ciphertext data processing on the fly are discussed. A new targeted fully homomorphic encryption scheme based on the ...

Abstract: Fully homomorphic encryption supports meaningful computations on encrypted data, and hence, is widely used in cloud computing and big data environments. Recently, Li et al. constructed an ...

For the last 30 years, stopping the flow of cybersecurity-related software has proven to be ineffective. It's unclear why it ...

Beyond advanced mathematics or theoretical computing breakthroughs, PQC is about protecting the systems enterprises already ...

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...

The threat of large-scale decryption is defined by a mathematical theorem called Mosca’s Inequality, said Badami. This ...

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1.  Background ...

Proficient in programming languages C/C++, Java, CUDA, Matlab, Perl, PHP, and able to implement algorithms with them and develop new optimization theories. For example, I have built a 3-D scanner from ...

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Osteoporotic fractures are a major health challenge in older adults. Despite the availability of safe and effective therapies for osteoporosis, these therapies are underused in individuals at high ...

Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning Christoph Dann, Yishay Mansour, Mehryar Mohri Echoes within the Reasoning: Stealthy and Effective Watermarking via ...