Poisoning Attacks Against Machine Learning: Can Machine Learning Be Trustworthy?
نویسندگان
چکیده
Many practical applications benefit from machine learning and artificial intelligence technologies, but their security needs to be studied in more depth. We discuss the risk of poisoning attacks against training stage challenges defending them.
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ژورنال
عنوان ژورنال: IEEE Computer
سال: 2022
ISSN: ['1558-0814', '0018-9162']
DOI: https://doi.org/10.1109/mc.2022.3190787