My monthly post is up over at Packet Pushers—

Machine learning systems “learn” from existing data pools and user interactions and are given “guardrails” by the system’s designers. Let’s look at some possible attack vectors and failure modes of these systems, specifically how training data, interaction with users, and the choice of guardrails might interact with security and privacy.