2 papers
cs.CR2025
Securing Transfer-Learned Networks with Reverse Homomorphic Encryption
Robert Allison, Tomasz Maciążek, Henry Bourne
The growing body of literature on training-data reconstruction attacks raises significant concerns about deploying neural network classifiers trained on sensitive data. However, di…
math.ST2024
Further Understanding of a Local Gaussian Process Approximation: Characterising Convergence in the Finite Regime
Anthony Stephenson, Robert Allison, Edward Pyzer-Knapp
We show that common choices of kernel functions for a highly accurate and massively scalable nearest-neighbour based GP regression model (GPnn: \cite{GPnn}) exhibit gradual converg…