3 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2022
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
Gradient-based deep-learning algorithms exhibit remarkable performance in practice, but it is not well-understood why they are able to generalize despite having more parameters tha…