ETSI releases mitigation strategy report on securing artificial intelligence


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Sophia Antipolis -- ETSI has recently released ETSI GR SAI 005, a report which summarizes and analyses existing and potential mitigation against threats for AI-based systems. This report sheds light on the available methods for securing AI-based systems by mitigating known or potential security threats identified in the recent ENISA threat landscape publication and ETSI GR SAI 004 Problem Statement Report. Therefore, ETSI GR SAI 005 focuses on deep learning and explores the existing mitigating countermeasure attacks. ETSI GR SAI 005 describes the workflow of machine learning models where the model life cycle includes both development and deployment stages. ETSI GR SAI 005 intends to serve as a securing AI technical reference for the planning, design, development, deployment, operation, and maintenance of AI-based systems.