Machine Learning Street Talk (MLST)

#48 Machine Learning Security - Andy Smith

Mar 16, 2021 · 37 min · Season 1 · Episode 48 · 54.0 MB
0:00-37:27

Streams straight from the publisher. podnod never proxies or re-hosts episode audio.

First episode in a series we are doing on ML DevOps. Starting with the thing which nobody seems to be talking about enough, security! We chat with cyber security expert Andy Smith about threat modelling and trust boundaries for an ML DevOps system. 

Intro [00:00:00]

ML DevOps - a security perspective [00:00:50]

Threat Modelling [00:03:03]

Adversarial examples? [00:11:27]

Nobody understands the whole stack [00:13:53]

On the size of the state space, the element of unpredictability [00:18:32]

Threat modelling in more detail [00:21:17]

Trust boundaries for an ML DevOps system [00:25:45]


Andy has a YouTube channel on cyber security! Check it out @ 

https://www.youtube.com/channel/UCywP24ly6h6NTusX88TQKTQ

https://www.linkedin.com/in/andysmith-uk/


Video version:

https://youtu.be/7Tz-3S4lypI