Adversarial robustness guarantees for classification with Gaussian Processes
We investigate adversarial robustness of Gaussian Process classification (GPC) models. Specifically, given a compact subset of the input space T⊆ℝd enclosing a test point x∗ and a GPC trained on a dataset , we aim to compute the minimum and the maximum classification probability for the GPC over al...
প্রধান লেখক: | , , , , , |
---|---|
বিন্যাস: | Conference item |
ভাষা: | English |
প্রকাশিত: |
Proceedings of Machine Learning Research
2020
|