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Real World Security Issues with Machine Learning Webinar

Real World Security Issues with Machine Learning Webinar

The first part of this presentation will examine the security vulnerabilities of machine learning systems from algorithm design to training methodologies to operational deployment. You will learn about the types of attacks that could be used to subvert, compromise or render machine learning systems inoperable. We will cover the risk implications, which are staggering, and look at how mission critical these systems can be without proper testing and security implementation. The second part of this presentation will describe how many of the security protocols, testing methods and best practices in other areas can be adapted to develop robust security models for machine learning systems.

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