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...
मुख्य लेखक: | Patanè, A |
---|---|
अन्य लेखक: | Kwiatkowska, M |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
2020
|
समान संसाधन
-
Adversarial robustness guarantees for Gaussian processes
द्वारा: Patane, A, और अन्य
प्रकाशित: (2022) -
Adversarial robustness guarantees for classification with Gaussian Processes
द्वारा: Blaas, A, और अन्य
प्रकाशित: (2020) -
Adversarially robust optimization with Gaussian processes
द्वारा: Bogunovic, I, और अन्य
प्रकाशित: (2021) -
Adversarially robust optimization with Gaussian processes
द्वारा: Bogunovic, Ilija, और अन्य
प्रकाशित: (2022) -
Robustness guarantees for Bayesian inference with Gaussian processes
द्वारा: Cardelli, L, और अन्य
प्रकाशित: (2019)