Doctoral researcher
Hamed Alghamdi
Delegated and privacy-preserving federated learning for resource-constrained devices.
Cryptography and AI Security Lab
Cryptography and AI Security Lab
We design and analyse cryptographic protocols for private computation, private data access and verifiable digital exchange, including applications in privacy-preserving machine learning. We also study the security of distributed learning systems. Our work spans formal security analysis, cryptanalysis, implementation and performance evaluation.
Based at Newcastle University and led by Dr Aydin Abadi.
Private computationProtocol cryptanalysisVerifiable exchange
Our mission
Research aims
We study what can be computed, retrieved or exchanged when data, models or participants cannot all be trusted.
The programme covers privacy-preserving computation and learning, private access and verifiable computation, financial cryptography, and cryptanalysis. We state the assumptions and leakage of each protocol and evaluate implementation costs where appropriate.
People
The team
Doctoral researchers developing new cryptographic and privacy-preserving systems.
Doctoral researcher
Jakub Kacper Szelag
Cryptography, AI security and verifiable distributed machine learning.
Doctoral researcher
Ishak Beno
Privacy-preserving data cleaning for reliable federated learning.
For organisations and researchers
Collaborate with the lab
Joint research, cryptographic feasibility and protocol analysis, research prototypes, and sponsored doctoral or knowledge-transfer projects.
Collaboration informationFor prospective researchers
Join the lab
Funded vacancies, general PhD enquiries, visiting researchers and postdoctoral opportunities.
See current opportunities