Collaborative cryptographic research
Co-designed work on a defined security problem, including joint funding proposals and contract-research projects where appropriate.
Cryptography and AI Security Lab
CASL collaborates with organisations and researchers on defined problems in cryptographic protocol design and analysis, including sensitive-data computation, private access, verifiable computation and secure digital exchange.
Send an enquiryResearch fit
Collaboration routes
The appropriate route depends on the research question, the maturity of the system and the intended output.
Co-designed work on a defined security problem, including joint funding proposals and contract-research projects where appropriate.
Threat modelling, formulation of security goals, protocol design and research-oriented analysis of security or privacy claims.
Longer-term investigation of an industrial research question through sponsored doctoral work, placements or a Knowledge Transfer Partnership where suitable.
Suitable projects can be arranged through Newcastle University as collaborative research, commercial consultancy or a Knowledge Transfer Partnership. Short technical workshops may also support a defined research or knowledge-exchange objective.
Relevant evidence
Selected work related to private data collaboration, private access and verifiable outsourcing.
Financial data collaboration
Privacy-preserving federated learning for financial fraud detection without pooling raw transaction data. STARLIT was a joint first-place winner in the UK-US PETs Prize Challenge.
Private access · Constrained clients
Delegated oblivious transfer under a non-collusion assumption. Supersonic OT achieves at least a 92× speedup and completes an end-to-end transfer in 1.36 ms on a Raspberry Pi 4.
Verifiable delegated computation
A delegated time-lock framework with verifiable computation for clients and servers with substantially different computational capabilities.
Contact
Send a concise description of the problem, system and intended output. We can then assess whether it aligns with the lab's expertise.