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Robustness of Bayesian Neural Networks to Gradient-Based Attacks.

, , , , , и . CoRR, (2020)

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Certification of Distributional Individual Fairness., , и . CoRR, (2023)Feature-Guided Black-Box Safety Testing of Deep Neural Networks., , и . TACAS (1), том 10805 из Lecture Notes in Computer Science, стр. 408-426. Springer, (2018)Individual Fairness Guarantees for Neural Networks., , , , и . IJCAI, стр. 651-658. ijcai.org, (2022)Statistical Guarantees for the Robustness of Bayesian Neural Networks., , , , , и . IJCAI, стр. 5693-5700. ijcai.org, (2019)Robust Explanation Constraints for Neural Networks., , , и . ICLR, OpenReview.net, (2023)Robustness of Bayesian Neural Networks to Gradient-Based Attacks., , , , , и . CoRR, (2020)Bayesian Inference with Certifiable Adversarial Robustness., , , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2431-2439. PMLR, (2021)Probabilistic Reach-Avoid for Bayesian Neural Networks., , , , , и . CoRR, (2023)On the Robustness of Bayesian Neural Networks to Adversarial Attacks., , , , , и . CoRR, (2022)Probabilistic Safety for Bayesian Neural Networks., , , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 1198-1207. AUAI Press, (2020)