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cs.CR2023
Attacking Byzantine Robust Aggregation in High Dimensions
Sarthak Choudhary, Aashish Kolluri, Prateek Saxena
Training modern neural networks or models typically requires averaging over a sample of high-dimensional vectors. Poisoning attacks can skew or bias the average vectors used to tra…
cs.LG2023
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…