Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees
arXiv:2605.06519v1 Announce Type: new
Abstract: Data reconstruction attacks on trained neural networks aim to recover the data on which the network has been trained and pose a significant threat to privacy, especially if the training dataset contains …