Modern communication environments involve complex interactions between entities with divergent interests, heterogeneous capabilities, and individual data, whether in web content distribution systems, federated learning, or authentication for electronic payments. Despite the strict constraints of the GDPR on personal data processing, emerging threats in decentralized computing demand advanced cryptographic solutions that ensure both privacy protection and fine-grained data analysis. ACAMAS aims to develop advanced cryptographic solutions for multi-agent systems, unifying two complementary aspects: data confidentiality, e.g., through multi-client functional encryption, and privacy-preserving authentication, e.g., through blind and threshold signatures. The approach relies on decentralization and the removal of single points of failure in complex environments where multiple agents (users, receivers, authorities) may be corrupted.
Strengthen security models for decentralized and dynamic multi-client functional encryption (DMCFE/DDFE) with fine-grained access control, then push these constructions toward post-quantum security — first via lattice-based techniques, and exploring code-based and isogeny-based alternatives where no analogue currently exists.
Extend chosen-ciphertext (CCA) security to the multi-agent functional encryption setting and investigate threshold decryption, while advancing threshold and blind signatures, all with an eye toward concrete contributions to NIST's multi-party threshold standardization process.