A New Construction Method for More Efficient Quadratic One-Time Noisy Multi-Client Functional Encryption Schemes
Frederik Armknecht
We introduce a new construction method for one-time multi-client functional encryption schemes that support noisy quadratic functions, are resistant against corruption and allow for labels. Such schemes can be used as building blocks in many practical applications, e.g., privacy preserving machine learning on arbitrarily split data. In contrast to earlier constructions, ours uses a different structural design that allows to make use of less complex, hence more efficient building blocks. The sec