37 citations · 54 across the 4 of their papers we have counts for
4 papers
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
Yixiang Yao, Weizhao Jin, Srivatsan Ravi
The entity resolution problem requires finding pairs across datasets that belong to different owners but refer to the same entity in the real world. To train and evaluate solutions…
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Weizhao Jin, Yuhang Yao, Shanshan Han +5
Federated Learning trains machine learning models on distributed devices by aggregating local model updates instead of local data. However, privacy concerns arise as the aggregated…
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao, Weizhao Jin, Srivatsan Ravi +1
Methods for training models on graphs distributed across multiple clients have recently grown in popularity, due to the size of these graphs as well as regulations on keeping data…
SMS Goes Nuclear: Fortifying SMS-Based MFA in Online Account Ecosystem
Weizhao Jin, Xiaoyu Ji, Ruiwen He +3
With the rapid growth of online services, the number of online accounts proliferates. The security of a single user account no longer depends merely on its own service provider but…