PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels

Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira +8

Allowing organizations to share their data for training of machine learning (ML) models without unintended information leakage is an open problem in practice. A promising technique…