Machine learning can process data that is imperceptible to humans from which it produces results we would expect.

These inconceivable patterns (they might look like old-school TV static to us) are inherent in data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?

Check out my latest technical review article covering recent research to answer this question published on KDnuggets, the top-rated and influential portal covering news and tutorials on Artificial Intelligence, analytics, Big Data, data mining, data science, and machine learning.

Why Machine Learning is vulnerable to adversarial attacks and how to fix it



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Last updated January 26, 2020