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Privacy of Photos.app’s Enhanced Visual Search

ID: 045398ed-012e-5588-8457-d9de5e0c2a3f

STIX ID: report--045398ed-012e-5588-8457-d9de5e0c2a3f

Feed Name: Schneier on Security

Date Published: 2025-01-06

Date Updated: 2026-04-19

Author: Bruce Schneier

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This post reflects on recent research about integrating AI with end-to-end encryption, arguing that device-side AI interacting with server databases can leak user intent and that homomorphic encryption (e.g., RAM-FHE/DEPIR) could theoretically mitigate this but remains impractical due to efficiency and side-channel concerns. The author concludes that privacy-preserving device-side scanning anchored to a central database is not currently viable in practice.

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