Verifying that the influence of a user data point has been removed from a machine learning classifier

By Saurabh Shintre, Jasjeet Dhaliwal. 2018

7 citations recorded by the source corpus.

How researchers see this paper

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Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks (2019, background): “[25] proposes a definition of forgetting based on changes of the value of the loss function.”
DART: Data Addition and Removal Trees (2020, methodology): “DART models guarantee safeguards against these types of classical membership inference attacks and reduce the need for deletion-verification methods (Shintre and Dhaliwal 2019; Sommer et al. 2020); however, if an adversary has access to the updated model and the original model (the model trained on ”
Machine Unlearning for Random Forests (2020, methodology): “DaRE models also reduce the need for deletion veriﬁcation methods (Shintre & Dhaliwal, 2019; Sommer et al., 2020).”