arxiv
PublishedSeptember 2, 2026 at 4:00 AM
Performative Privacy: When Differential Privacy Maximizes Utility
Publisher summary· verbatim
arXiv:2608.28198v2 Announce Type: replace-cross Abstract: Privacy-preserving learning is often motivated by the idea that protecting users' data can preserve trust and thus participation, improving utility in the long term. However, this claim has not been formalized so far. In parallel, performativ
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Originally published on arxiv ↗