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Add ML Security Transcript File #230

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Jan 9, 2024
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Add ML Security Transcript File #230

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42 changes: 42 additions & 0 deletions 2024/95-joseph-ml-security.md
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# Joseph Lucas: What is Machine Learning Security Anyway?

## Upcoming Events
Join our Meetup group for more events!
https://www.meetup.com/data-umbrella

## Key Links
- Transcript: https://github.com/data-umbrella/event-transcripts/blob/main/2024/95-joseph-ml-security.md
- Meetup Event: https://www.meetup.com/data-umbrella/events/297749677/
- Video:
- GitHub repo:
- Transcriber: ? [needs a transcriber]

## Resources
None

## About the Event
Securing machine learning development and products is increasingly relevant and a growing career field. Joe Lucas, a member of NVIDIA's AI Red Team, will be introducing the field of machine learning security to help attendees secure their own work and understand how to engage with this new domain of security.

```
## Timestamps
00:00 Help us add timestamps
```
https://github.com/data-umbrella/event-transcripts/issues/92

## About the Speaker
Joe is a senior offensive security researcher focused on AI at NVIDIA. He is the founder and chair of the NumFOCUS Security Committee and is a member of the Jupyter Security Council. He was one of the architects and hosts of the DEF CON 30 AI Village Capture the Flag competition and is passionate about machine learning security education. He served in the US Army at US Cyber Command and the 101st Airborne Division. He holds a master's degree in Computer Science from Georgia Institute of Technology and a bachelor's degree in Mathematics from the United States Military Academy. His first open source contribution was as part of a Data Umbrella sprint!

- GitHub: https://github.com/JosephTLucas
- X: https://twitter.com/josephtlucas
- LinkedIn: https://www.linkedin.com/in/josephtlucas/

#machinelearning #datascience #security

## Video
<a href="http://www.youtube.com/watch?feature=player_embedded&v=mWadao1brts" target="_blank"><img src="http://img.youtube.com/vi/mWadao1brts/0.jpg"
alt="What is Machine Learning Security Anyway?" width="50%" /></a>

## Timestamps
[get from video]

## Transcript