Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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7 results for Runhua Xu

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
- - Runhua Xu
  - Nathalie Baracaldo
  - et al.
- 2022
- CLOUD 2022
NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- - Runhua Xu
  - James Joshi
  - et al.
- 2021
- IEEE TDSC
Blockchain-based Transparency Framework for Privacy Preserving Third-party Services
- - Runhua Xu
  - Chao Li
  - et al.
- 2021
- IEEE TDSC
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
- - Runhua Xu
  - Nathalie Baracaldo
  - et al.
- 2021
- AISec/CCS 2021
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform
- - Chao Li
  - Balaji Palanisamy
  - et al.
- 2021
- CODASPY 2021
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
- - Runhua Xu
  - James Joshi
- 2020
- TPS-ISA 2020
Hybridalpha: An efficient approach for privacy-preserving federated learning
- - Runhua Xu
  - Nathalie Baracaldo
  - et al.
- 2019
- AISec/CCS 2019