Runhua Xu is a research staff member in the group of AI Security & Privacy Solutions at IBM Research - Almaden works under the AI Platforms organization, and is based in San Jose, CA. He holds a Ph.D. degree in Information Security from School of Computing and Information, University of Pittsburgh. His advisor is Prof. James B.D. Joshi. Prior to that, Runhua received his M.S. degree in Computer Science supervised by Prof. Bo Lang from Beihang University, and his B.E. in Software Engineering from Northwestern Polytechnical University.
Runhua's research interests cover a range of areas: privacy-preserving machine learning, secure computing, access control, applied cryptography, blockchain, security and privacy issues in cloud/edge computing. More specifically, his current research focuses on approaches to achieve privacy-preserving collaborative machine learning models by secure multi-party computing, etc., and efficient and generic approaches to achieve machine learning models over encrypted data. He also works on various issues such as public ledger techniques such as blockchain and smart contracts to build trustworthy, collaborative, and transparent third-party authority infrastructure for advanced cryptosystems.
Life is like a blank paper. I am doodling, doodling...
federated learning, secure computing, computing over encrypted data
machine learning, SMC, access control, secret sharing, approximate computing, computing over ciphertext
third-party authority, infrastructure, public ledger, advanced cryptosystem, trustworthy and transparency
cryptography, attribute-based encryption, secure deduplication, attribute-based access control
query optimization, data privacy, latency awareness, edge computing, database
access control, attribute-based encryption, privacy-preserving policy, outsourced data management