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 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 limitations.

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Research Methods in a Multinational Business Environment and Implications for Capital Formation: Application of Cross-Sectional Autoregressive Distributed Lag Methods

We explore whether foreign direct investment outflows augment or obstruct public or private capital in developing countries by decomposing domestic capital into private and public capital.While developed countries are the primary source of foreign direct investment outflows (FDIOs), developing economies have become the primary source of FDIO over t

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The pectoralis myogram: A marker of severe chest wall trauma

Purpose: Our unique case reports injuries and radiographic findings of a patient with major chest wall trauma: the pectoralis myogram.Results: The patient santa margherita pinot grigio 2022 was a 49 year old male involved in a motor vehicle collision with right sided pneumothorax with loss of lung markings, numerous rib fractures, a comminuted left

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