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How to Train your Antivirus: RL-based Hardening through the Problem-Space
It also makes possible to provide theoretical guarantees on the robustness of the model against a particular set of adversarial capabilities.
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data
Learning from raw data input, thus limiting the need for feature engineering, is a component of many successful applications of machine learning methods in various domains.
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