The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning
We study Membership Inference Attack (MIA) risk in Federated Learning through a two-stage lens that separates (i) whether a target client’s contribution is detectable after aggregation and system noise (Stage I: Signal Survival) from (ii) whether a surviving contribution induces a generative members...
Furkejuvvon:
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2026-05-01
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| Ráidu: | Big Data and Cognitive Computing |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/2504-2289/10/5/163 |
| Fáddágilkorat: |
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