Adversarial robustness certification for Bayesian neural networks
We study the problem of certifying the robustness of Bayesian neural networks (BNNs) to adversarial input perturbations. Specifically, we define two notions of robustness for BNNs in an adversarial setting: probabilistic robustness and decision robustness. The former deals with the probabilistic beh...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2024
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