A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. - Giuseppe Ughi; Vinayak Abrol; Jared Tanner (CoRR, 2020)

An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. - Giuseppe Ughi; Vinayak Abrol; Jared Tanner (CoRR, 2020)

Mutual Information of Neural Network Initialisations: Mean Field Approximations. - Jared Tanner; Giuseppe Ughi (ISIT, 2021)

Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. - Odhran O'Donoghue; Paul Duckworth; Giuseppe Ughi; Linus Scheibenreif; Kia Khezeli; Adrienne Hoarfrost; Samuel Budd; Patrick Foley; Nicholas Chia; John Kalantari; Graham Mackintosh; Frank Soboczenski; et al. (CoRR, 2021)