arxiv
PublishedAugust 27, 2026 at 4:00 AM
—neutral
Provable Privacy Attacks on Trained Shallow Neural Networks
Publisher summary· verbatim
arXiv:2410.07632v3 Announce Type: replace Abstract: We study what provable privacy attacks can be shown for trained 2-layer ReLU neural networks, focusing on two types of attacks: membership inference and data reconstruction. We prove that theoretical results on the implicit bias of 2-layer neural n
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Originally published on arxiv ↗