May MeetUp: Gary McGraw on the Security Risks of Machine Learning Systems

** Note: this is a virtual MeetUp conducted over the Zoom platform. Only those who RSVP will receive the password needed to attend.**

Advances in computing power and accessibility in recent years has accelerated both the abilities of machine learning technology and its applications. ML now influences everything from multi-billion dollar trades on Wall Street, to medical diagnosis to what movie Netflix recommends you watch next.

As machine learning and automation fuel business disruption, however, what about the security of machine learning systems? Might decisions be manipulated and corrupted by malicious actors intent on sowing disruption or lining their own pocket? And when machine decisions go awry, how will the humans impacted by those decisions know?

In this virtual MeetUP we're thrilled to welcome, Gary McGraw, author of Software Security and - most recently - the founder of the Berryville Institute of Machine Learning, a think tank that has taken on the task of analyzing machine learning systems from a cyber security perspective.

The group has just published its first report: An Architectural Risk Analysis of Machine Learning Systems, which includes a top 10 list of machine learning security risks, as well as some security principles to guide the development of machine learning technology.

Gary will talk about the work he's doing at BIML and some of the biggest security risks to machine learning systems.