On the adversarial robustness of Gaussian processes
<p>We study the robustness of Bayesian inference with Gaussian processes (GP) under adversarial attack settings. We begin by noticing how the distinction between model prediction and decision in Bayesian settings naturally leads us to give two different notions of adversarial robustness. The f...
Главный автор: | Patanè, A |
---|---|
Другие авторы: | Kwiatkowska, M |
Формат: | Диссертация |
Язык: | English |
Опубликовано: |
2020
|
Схожие документы
-
Adversarial robustness guarantees for Gaussian processes
по: Patane, A, и др.
Опубликовано: (2022) -
Adversarial robustness guarantees for classification with Gaussian Processes
по: Blaas, A, и др.
Опубликовано: (2020) -
Adversarially robust optimization with Gaussian processes
по: Bogunovic, I, и др.
Опубликовано: (2021) -
Adversarially robust optimization with Gaussian processes
по: Bogunovic, Ilija, и др.
Опубликовано: (2022) -
Robustness guarantees for Bayesian inference with Gaussian processes
по: Cardelli, L, и др.
Опубликовано: (2019)