Giuseppe Ughi
Giuseppe Ughi
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An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks
G Ughi, V Abrol, J Tanner
Optimization and Engineering, 1-28, 2021
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA
G Ughi, V Abrol, J Tanner
NeurIPS 2019 Workshop Beyond First Order Methods in ML, 2020
Limits on simultaneous transmit and receive
D Allwright, GA Antonucci, T Babb, A Evans, E Bowley, R Dakin, C Please, ...
Federated causal inference for out-of-distribution generalization in predicting physiological effects of radiation exposure
L Sanders, P Duckworth, O O'Donoghue, L Scheibenreif, G Ughi, ...
AGU Fall Meeting 2021, 2021
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
O O'Donoghue, P Duckworth, G Ughi, L Scheibenreif, K Khezeli, ...
NeurIPS 2021 Workshop Machine Learning for Health, 2021
Mutual Information of Neural Network Initialisations: Mean Field Approximations
J Tanner, G Ughi
International Seminar in Information Theory 2021, 2021
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Artículos 1–6