IT Security

From The Foundation for Best Practices in Machine Learning

IT Security


Traditional IT security practices are referred to. Areas of particular importance to ML-based systems include - (a) backdoor access to the Product, in particular the components vulnerable to attack risk as identified in other controls; (b) remote host servers vulnerability; (c) hardened and isolated systems; (d) malicious insiders (e)man-in-the-middle attacks; and/or (f) denial-of-service.


To (a) warrant and control the risk of Adversarial Attacks in general; and (b) highlight associated risks that might occur in the Product Lifecycle.

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