Hacking (with) mobile AIandroid
A practical introduction to the security pitfalls of current mobile machine learning solutions.
Using currently well-known frameworks and samples to introduce speech recognition, computer vision or natural language processing solutions may lead to potential security risks within mobile applications.
The goal is to inspire people to take machine learning solutions security into account both at development and testing level. Providing efficient guidance using real, modern tools and based on memorable examples that stick.
The lecture does not focus on one particular framework or system, making the lessons learned abstract but having practical, take-home solutions.