Unverified50% confidenceFactExact time
In experiments, the prototype system achieved client-level differential privacy of ε≤3, plus secure aggregation of prediction sharing, with raw data never leaving the site.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedThe privacy boundary of Incognito mode is the account persistence data layer, not the model inference capability layer—meaning it manages the storage and retrieval of data rather than the model's cognitive scope.70% similarUnverifiedThe (ε,δ) guarantee is essentially a probabilistic bound on privacy loss, but does not directly tell us how much raw data an attacker can reconstruct from the model.70% similarUnverified使用模型代理工具存在数据隐私风险（代码经第三方服务器转发）和延迟影响（引入数十毫秒网络延迟）69% similarUnverifiedUsing model proxy tools carries data privacy risks, as request content is forwarded through third-party servers.69% similarUnverifiedWhen using third-party aggregation platforms, input content may be processed through an intermediate layer, and data privacy risks must be evaluated in scenarios involving sensitive data.68% similar
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