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Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

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Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Graph Chatbot

Chat with Graph Search

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Privacy-Preserving Machine Learning on Graphs

Challenging the Assumptions: Rethinking Privacy, Bias, and Security in Machine Learning

On the (In)security of Peer-to-Peer Decentralized Machine Learning