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...
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| Formato: | Thesis |
| Idioma: | English |
| Publicado em: |
2020
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