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...
Egile nagusia: | Patanè, A |
---|---|
Beste egile batzuk: | Kwiatkowska, M |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
2020
|
Antzeko izenburuak
-
Adversarial robustness guarantees for Gaussian processes
nork: Patane, A, et al.
Argitaratua: (2022) -
Adversarial robustness guarantees for classification with Gaussian Processes
nork: Blaas, A, et al.
Argitaratua: (2020) -
Adversarially robust optimization with Gaussian processes
nork: Bogunovic, I, et al.
Argitaratua: (2021) -
Adversarially robust optimization with Gaussian processes
nork: Bogunovic, Ilija, et al.
Argitaratua: (2022) -
Robustness guarantees for Bayesian inference with Gaussian processes
nork: Cardelli, L, et al.
Argitaratua: (2019)