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Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
We propose using a two-layered deployment of machine learning models to prevent adversarial attacks.
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
Our results show that the explored active learning settings can reduce the data labeling effort by between three and four percent without detriment to the overall quality goals, considering a threshold of p=0. 95.
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