Bayesian inference with certifiable adversarial robustness
We consider adversarial training of deep neural networks through the lens of Bayesian learning and present a principled framework for adversarial training of Bayesian Neural Networks (BNNs) with certifiable guarantees. We rely on techniques from constraint relaxation of non-convex optimisation probl...
| Autori principali: | , , , , , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
Journal of Machine Learning Research
2021
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