#48 Machine Learning Security - Andy Smith - podcast episode cover

#48 Machine Learning Security - Andy Smith

Mar 16, 202137 minSeason 1Ep. 48
--:--
--:--
Listen in podcast apps:

Episode description

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

#48 Machine Learning Security - Andy Smith | Machine Learning Street Talk (MLST) podcast - Listen or read transcript on Metacast