34 citations · 83 across the 21 of their papers we have counts for
3 papers · 1 filter
Scalable Neural Network Training over Distributed Graphs
Aashish Kolluri, Sarthak Choudhary, Bryan Hooi +1
Graph neural networks (GNNs) fuel diverse machine learning tasks involving graph-structured data, ranging from predicting protein structures to serving personalized recommendations…
Membership Inference Attacks and Generalization: A Causal Perspective
Teodora Baluta, Shiqi Shen, S. Hitarth +2
Membership inference (MI) attacks highlight a privacy weakness in present stochastic training methods for neural networks. It is not well understood, however, why they arise. Are t…
LPGNet: Link Private Graph Networks for Node Classification
Aashish Kolluri, Teodora Baluta, Bryan Hooi +1
Classification tasks on labeled graph-structured data have many important applications ranging from social recommendation to financial modeling. Deep neural networks are increasing…