Adversarial Distillation of Bayesian Neural NetworksJan 1, 2020·Satya Narayan Shukla,Meet P Vadera,Brian Jalaian,Benjamin M Marlin· 0 min read PDF CiteTypeConferenceLast updated on Oct 19, 2024Adversarial Machine Learning Deep Learning Uncertainty Quantification ← Trinity: Trust, Resilience and Interpretability of Machine Learning Models Jan 1, 2021Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification Jan 1, 2020 →