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Towards more Practical Threat Models in Artificial Intelligence Security
Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI.
Machine Learning Security in Industry: A Quantitative Survey
Despite the large body of academic work on machine learning security, little is known about the occurrence of attacks on machine learning systems in the wild.
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