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Training Camp • Cybersecurity Glossary
Study of attacks against machine learning systems
Adversarial Machine Learning Definition: Study of attacks against machine learning systems
A field that studies vulnerabilities of machine learning systems to attacks and develops techniques to make these systems more robust against such attacks, which can include data poisoning, evasion, or model extraction.
Adversarial Machine Learning is one of the topics you'll master in the AIGP Boot Camp.
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