Security Congress Abstract
As more applications rely on machine learning for automated decisions, concerns have emerged about potential vulnerabilities introduced by machine learning algorithms. Sophisticated attackers could target those vulnerabilities and manipulate machine learning algorithms to their advantage. This presentation will explore attacks against machine learning, how to think about the risks, and what should be done to mitigate them. Using real-world scenarios, and a healthy dose of python, this presentation walks the audience through this emerging cyber security risk. Should we be concerned or is this just another doom and gloom story? You decide!