Dynamische Empfindlichkeit in Sql-Umschreibung
Anmelder: Beijing Zitiao Network Technology Co., Ltd., Bytedance Technology Ltd. 🇨🇳
Details
- Veröffentlichungs-Nr.
- EP4811199
- Anmeldetag
- 16. März 2026
- Veröffentlichung
- 23. September 2026
- Rechtsraum
- EP
- IPC
- G06F21/62, G06F16/2458
Abstract
The present disclosure involves methods (200, 300), apparatus, and systems (100, 400) for dynamically determining sensitivity in differential privacy. This can include: identifying a query for aggregate information from a source, wherein the aggregate information is associated with a plurality of users; grouping each piece of information in the source based on an associated user for that piece of information; determining, for each associated user, a primary aggregation, wherein the primary aggregation is a vector representing results to the query sorted by each associated user's contribution to the source; calculating, as a calculated user norm, a user norm for each user's primary aggregation; identifying a subset one or more users whose primary aggregation is greater than the sensitivity associated with the source; and truncating subset one or more users' primary aggregation by a ratio of their associated calculated user norm and the sensitivity.
Anmelder
- Firmen
- Beijing Zitiao Network Technology Co., Ltd.
Bytedance Technology Ltd. - Land
- 🇨🇳 China
Chinesischer Technologiekonzern mit Sitz in Peking, bekannt durch die Plattformen TikTok und Douyin. ByteDance entwickelt Technologien für künstliche Intelligenz, Empfehlungsalgorithmen, Videoverarbeitung und Content-Plattformen.
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