Analysis of robust neural networks for control

Analysis of robust neural networks for control

<p>The prevalence of neural networks in many application areas is expanding at an increasing rate, with the potential to provide huge benefits across numerous sectors. However, one of the greatest shortcomings of a trained neural network is its sensitivity to adversarial attacks. It is becomin...

Полное описание

Библиографические подробности
Главный автор:	Newton, M
Другие авторы:	Papachristodoulou, A
Формат:	Диссертация
Язык:	English
Опубликовано:	2023
Предметы:	Semidefinite programming Control Neural networks (Computer science) Lyapunov stability

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