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Zen and the Art of Adversarial Machine Learning

Black Hat via YouTube

Overview

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This course presents operational guidance for assessing and attacking machine-learning models. It covers extraction, evasion, inversion, membership inference, poisoning, and the development of repeatable assessment capabilities.

Syllabus

Intro
Operational Guidance
Adversarial ML
Extraction
Evasion
Inversion
Poisoning
02 Lossy Compression
04 Distance Metrics
OSINT
Inference Traffic
Common Files
Tooling
Capability Development
Conclusion
Contact Info

Taught by

Black Hat

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