2026
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
ICLR 2026poster
The memorization of training data by neural networks raises pressing concerns for privacy and security. Recent work has shown that, under certain conditions, portions of the training set can be reconstructed directly from model parameters. Some of these methods exploit implicit bias toward margin ma…