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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

The Privacy Power of Correlated Noise in Decentralized Learning

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

Privacy-Preserving Machine Learning on Graphs

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

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

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

Minding Rights: Mapping Ethical and Legal Foundations of 'Neurorights'