Probabilistic safety for bayesian neural networks
We study probabilistic safety for Bayesian Neural Networks (BNNs) under adversarial input perturbations. Given a compact set of input points, T ⊆ R m, we study the probability w.r.t. the BNN posterior that all the points in T are mapped to the same region S in the output space. In particular, this c...
| Hlavní autoři: | , , , |
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| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
Journal of Machine Learning Research
2020
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