My presentation on machine learning security opened the Ground Truth track at the 2017 BSidesLV conference:
When: Tuesday, July 25, 11:00 – 11:30
Where: Tuscany, Las Vegas
Cost: Free (as always!)
Event Link: Hidden Hot Battle Lessons of Cold War: All Learning Models Have Flaws, Some Have Casualties
In a pursuit of realistic expectations for learning models can we better prepare for adversarial environments by examining failures in the field?
All models have flaws, given any usual menu of problems with learning; it is the rapidly increasing risk of a catastrophic-level failure that is making data /robustness/ a far more immediate concern.
This talk pulls forward surprising and obscured learning errors during the Cold War to give context to modern machine learning successes and how things quickly may fall apart in evolving domains with cyber conflict.
Copy of Presentation Slides: 2017BSidesLV.daviottenheimer.pdf (4 MB)
Full Presentation Video: (coming)
Prior BSides Presentations
- 2016 Ground Truth Keynote: Great Disasters of Machine Learning
- 2012: Big Data’s Fourth V
- 2011: A Cloud Odyssey
- 2010: Dr. Stuxlove
This is a Security Bloggers Network syndicated blog post authored by Davi Ottenheimer. Read the original post at: flyingpenguin