Membership inference attack on differentially private block coordinate descent
Shazia Riaz,
Saqib Ali,
Guojun Wang
et al.
Abstract:The extraordinary success of deep learning is made possible due to the availability of crowd-sourced large-scale training datasets. Mostly, these datasets contain personal and confidential information, thus, have great potential of being misused, raising privacy concerns. Consequently, privacy-preserving deep learning has become a primary research interest nowadays. One of the prominent approaches adopted to prevent the leakage of sensitive information about the training data is by implementing differential pr… Show more
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