Learning-based Approaches to Data-driven Predictions

A major challenge in building secure and widely adopted deep learning systems is that they sometimes make wrong, unexplainable, and/or unpredictable misclassifications. This talk overviews initial efforts towards techniques using large-scale deep learning with multi-source integrated data sets. In addition, we introduce the integration of statistical learning approaches with learning-based frameworks.