DETECTION OF ADVERSARIAL ATTACKS USING DEEP LEARNING AND FEATURES EXTRACTED FROM INTERPRETABILITY METHODS IN INDUSTRIAL SCENARIOS

Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios

The adversarial training technique has been shown to improve Holiday the robustness of Machine Learning and Deep Learning models to adversarial attacks in the Computer Vision field.However, the effectiveness of this approach needs to be proven in the field of Anomaly Detection on industrial environments, where adversarial training has critical limi

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Analysis of the efficacy and safety of conservative treatment of blunt abdominal trauma in children: retrospective study. Conservative treatment of blunt abdominal trauma in children

ABSTRACT Introduction: in Brazil, trauma is responsible for 40% of deaths in the age group between 5 and 9 years old, and 18% between 1 and 4 years, and bleeding is the leading cause of preventable death in the traumatized child.Conservative management of blunt abdominal trauma with solid organs injury - started in the 60s - is the current world tr

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