ETSI Releases Mitigation Strategy Report on Securing Artificial Intelligence
ETSI has recently released ETSI GR SAI 005, a report which summarizes and analyses existing and potential mitigation against threats for AI-based systems. Setting a baseline for a common understanding of relevant AI cyber security threats and mitigations will be key for widespread deployment and acceptance of AI systems and applications. 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. It also addresses security capabilities, challenges, and limitations when adopting mitigation for AI-based systems in certain potential use cases.
Artificial intelligence has been driven by the rapid progress of deep learning and its wide applications, such as image classification, object detection, speech recognition and language translation.
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