How Machine Learning Can Be Hacked (3rd part of the series)

Source: Deep Learning on Medium


As an engineer who’s involved in the development of machine learning engines for user anomaly detection in ERP systems, one of my goals is to build a system that not only can detect attacks but can withstand them. The first cases of fooling machine learning algorithms were published a while ago, and the first example of a real-life scenario probably had something to do with spam filter bypasses.