CRISP
Offload computation to services while keeping data private
CRISP relies on quantum-resistant lattice-based approximate homomorphic encryption primitives that support flexible polynomial computations on encrypted data without degrading utility. To ensure data integrity, it employs lattice-based commitments and zero-knowledge proofs based on the multi-party-computation-in-the-head paradigm, which enables users to simultaneously convince service providers about the correctness of the encrypted data as well as the authenticity of the underlying plaintext data, using the deployed certification mechanism.
Homomorphic EncryptionZero-Knowledge Proofs
- Technical
- Research papers
- Source code: Lab GitHub
- Last commit: 2021-12-03
Over the last 15 years, the Laboratory for Data Security has pioneered the areas of security and privacy in personalized health and mobile/wireless networks as well as tackled interpersonal privacy issues. On the first topic, they collaborate extensively with hospitals. Their core competencies are in applied cryptography, data protection techniques such as differential privacy, and wireless networking. Their research is funded by the Strategic Focus Area “Personalized Health and Related Technologies” of the ETH Domain, the Swiss Data Science Center and the Swiss National Science Foundation.
This page was last edited on 2022-07-05.
This page was last edited on 2022-07-05.