Unlocking Secure Industrial Collaborations through Privacy-Preserving Computation
Abstract
In industrial settings, significant process improvements can be achieved when utilising and sharing information across stakeholders. However, traditionally conservative companies impose significant confidentiality requirements for any (external) data processing. We discuss how privacy-preserving computation can unlock secure and private collaborations even in such competitive environments.
Type
Publication
ERCIM News
Dr. rer. nat. Jan Pennekamp
Postdoctoral Researcher
