This means although the true content of your data is never revealed and stays fully private you can still benefit from machine learning evaluations or remote calculations on a server. Data can be exchanged with customers or industry partners in a secure and privacy-preserving manner so that the actual content of your personal phone data or the actual details about your production methods remain private and fully secure. In this session you will get an overview about cutting edge cryptographic methods and an introduction to the current state of the art of homomorphic encryption, multi-party computation and so called zero-knowledge proofs. Homomorphic encryption, one of the methods that allows computation on encrypted data, is also regarded as a quantum secure or post-quantum algorithm, since in contrast to conventional cryptographic methods there exists no quantum algorithm that can break its security.

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