Can machine learning be used to break/circumvent machine learning?
Machine learning has taken over the world by a storm as computing power has gotten cheaper and cheaper. Running large scale computations is now in the reach of most developers and organizations. Building complex systems based on machine learning algorithms allow specialized classification of inputs - either matching the pattern or not.
However, looking at these many different implementations from a security perspective offer us a unique vantage point - adversarial machine learning.