AI SafetyResearch 🇺🇸 27.07.2026 13:05

Google introduces private analytics technology based on cryptography and TEE

Google/DeepMindGoogle/DeepMind
Google Research has developed a private analytics solution combining a new cryptographic protocol for secure aggregation with trusted execution environments (TEEs). The system enables devices to submit data in a single message, eliminating the need for multi-round interactions, and ensures that only aggregated, anonymized insights are revealed, even if TEE security fails.
Google Research introduced a private analytics solution that combines a novel cryptographic protocol with TEEs (trusted execution environments) to enhance privacy and security. The cryptographic protocol allows devices to submit encrypted data in a single, one-shot message, eliminating the need for multiple rounds of interaction. The approach follows a zero-trust principle, ensuring that even Google cannot access individual raw data; only aggregated, anonymized insights are obtained. TEEs provide attestation and transparency, verifying that the secure aggregation protocol runs correctly. The system uses a lattice-based cryptographic method where ciphertexts can be aggregated along with their encryption keys, and small committees of clients hold hints to unlock the aggregated value with differential privacy noise. Android SafetyCore will use this technology to evaluate the effectiveness of its safety tools without accessing user private content. This multi-layered defense ensures data protection even if TEE security is compromised.
Сокращения
TEE = Trusted Execution Environment — доверенная среда выполнения
Source: Google Research — original
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