Bayesian inference with certifiable adversarial robustness

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...

書目詳細資料
Main Authors:	Wicker, M, Laurenti, L, Patane, A, Chen, Z, Zhang, Z, Kwiatkowska, M
格式:	Conference item
語言:	English
出版:	Journal of Machine Learning Research 2021

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