Machine Learning – Best Practices and Vulnerabilities
Artificial Intelligence and Machine Learning are a must nowdays.
For projects carrying a simple or well-known problem we can find a lot of ready-made solutions, but the game changes when facing with specific custom problems.
The first part of this session is a deep down on techiniques approaches and best practices in configuring ML algorithms but much more, do we really need it always?
The second part will cover vulnerabilities of ML, discovering how easy could be to fool and to hack a neural network by some techniques (Like pixel attack) and their implication in (our) security.
A demostration will focus on a case of e-commerce using cloud ML (Cognitive) services, breaking them then possible solutions and workarounds.