Completed Computing & AI Mathematics & Statistics

Trust and Security in Numbers

In plain English

AI plain-English summary

Multi-Party Computation (MPC) lets multiple organisations jointly compute answers from their combined data without any of them ever seeing each other’s raw information. For decades, MPC was a theoretical curiosity; now it is becoming practically realisable, and this fellowship will push it from fundamental mathematics through to working prototypes. The core problem is that today’s computing infrastructure forces a choice: share data openly (risking privacy) or keep it siloed (missing out on insights). MPC breaks that trade-off. The research covers the entire pipeline—from the underlying cryptographic protocols and systems engineering to programming tools and real-world demonstrators guided by an industrial advisory board. If successful, MPC could transform how hospitals collaborate on patient diagnostics without exposing records, how supply chains verify provenance without revealing proprietary data, and how energy grids balance loads across competing utilities without leaking commercial information. It also enables entirely new business models: parties that currently refuse to share data resources could do so without compromising privacy or security. This is fundamental science with a clear engineering path, not an immediate consumer product, but the protocols it produces could quietly underpin the trust architecture of future digital infrastructure.

View original technical description
The fellowship will examine the science, technology and application of Multi-Party Computation technology in various application domains. MPC is a long standing theoretical construct, which is only now becoming practically realisable. It has the potential to revolutionize the way we enable trust in our computing infrastructure (by distributing trust amongst different parties). It will enable greater privacy aware applications, (by enabling parties to compute on data without holding it `in the clear'), and it will ensure greater security (by providing robust and secure protocols for tasks currently performed in an insecure and ad-hoc manner). It can also enable new business models and applications by allowing parties who currently do not share data resources, to share the said resources without compromising on either privacy or security. The research programme covers a pipeline of work covering the lower TRL levels. We will conduct basic scientific research in the underlying mathematics and protocols, we will conduct research in the systems engineering needed to bring such protocols to an efficient reality, including work on programming tools and models, and finally we will examine potential applications via demonstrators and our industrial advisory board (all of whome have been selected due to their long term interaction with our group and their expertise in specific application domains of MPC).

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Researchers

Nigel Smart (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

IRIS : Multi-Party Computation
Bristol/Bar-Ilan MPC
Secure multi-party computation from physical assumptions
MediVault: A Privacy-preserving Data Collaboration Platform for Healthcare
POST: Protocols, Observabilities and Session Types

Original classification

Fellowship

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