most citedReconstructing Training Data from Multiclass Neural Networks

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 3 cited

Reconstructing Training Data from Multiclass Neural Networks

Gon Buzaglo, Niv Haim, Gilad Yehudai +2

Reconstructing samples from the training set of trained neural networks is a major privacy concern. Haim et al. (2022) recently showed that it is possible to reconstruct training s…