2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
NeurIPS 2023poster
Memorization of training data is an active research area, yet our understanding of the inner workings of neural networks is still in its infancy. Recently, Haim et al. 2022 proposed a scheme to reconstruct training samples from multilayer perceptron binary classifiers, effectively demonstrating that…