PhD Position F/M Security and Enhancement for Next-gen Trusted RAG Yields using Confidential Computing

Contexte et atouts du poste

This Phd thesis will be funded by the Cupseli Inria Challenge (Défi Inria) and by the ANRT

The Cupseli Inria Challenge brings together 11 Inria teams distributed over 6 Inria centers and the Hive startup company based in Cannes. Hive offers a highly original data storage architecture in which data is stored in a distributed and secure manner on the spare storage resources of participants, based on a peer-to-peer structure. This structure naturally ensures scalability, resilience and voluntary sharing of data between users. Another advantage of this architecture is its positive impact on carbon emissions by using and enhancing existing resources rather than building new datacenters, which have a very high impact. 

This new challenge between Hive and Inria will focus on enabling large-scale computation on the Hive infrastructure. This objective is particularly relevant in the presence of applications that...