Secure multiparty computation enables privacy-preserving linear regression on multi-user EEG signals for driver drowsiness estimation, demonstrated with 15 parties at reasonable computational cost.
Efficient and private scoring of decision trees, support vector machines and logistic regression models based on pre-computation
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Protecting Privacy of Users in Brain-Computer Interface Applications
Secure multiparty computation enables privacy-preserving linear regression on multi-user EEG signals for driver drowsiness estimation, demonstrated with 15 parties at reasonable computational cost.