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Multi-key and Multi-input Predicate Encryption from Learning with Errors

Authors:
Danilo Francati , Aarhus University
Daniele Friolo , Sapienza University of Rome
Giulio Malavolta , Max Planck Institute for Security and Privacy
Daniele Venturi , Sapienza University of Rome
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Presentation: Slides
Conference: EUROCRYPT 2023
Abstract: We put forward two natural generalizations of predicate encryption (PE), dubbed multi-key and multi-input PE. More in details, our contributions are threefold. – Definitions. We formalize security of multi-key PE and multi-input PE following the standard indistinguishability paradigm, and modeling security both against malicious senders (i.e., corruption of encryption keys) and malicious receivers (i.e., collusions). – Constructions. We construct adaptively secure multi-key and multi-input PE supporting the conjunction of poly-many arbitrary single-input predicates, assuming the sub-exponential hardness of the learning with errors (LWE) problem. – Applications. We show that multi-key and multi-input PE for expressive enough predicates suffices for interesting cryptographic applications, including non-interactive multi-party computation (NI-MPC) and matchmaking encryption (ME). In particular, plugging in our constructions of multi-key and multi-input PE, under the sub-exponential LWE assumption, we obtain the first ME supporting arbitrary policies with unbounded collusions, as well as robust (resp. non-robust) NI-MPC for so-called all-or-nothing functions satisfying a non-trivial notion of reusability and supporting a constant (resp. polynomial) number of parties. Prior to our work, both of these applications required much heavier tools such as indistinguishability obfuscation or compact functional encryption.
BibTeX
@inproceedings{eurocrypt-2023-33028,
  title={Multi-key and Multi-input Predicate Encryption from Learning with Errors},
  publisher={Springer-Verlag},
  author={Danilo Francati and Daniele Friolo and Giulio Malavolta and Daniele Venturi},
  year=2023
}