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Explore the intricacies of machine learning anomaly detectors in this 58-minute conference talk from BSidesLV 2015. Delve into the creation and deconstruction of these detectors, gaining practical insights into their real-world applications and limitations. Learn how to develop robust anomaly detection systems and understand potential vulnerabilities that could be exploited. Discover techniques for improving the effectiveness and reliability of machine learning-based security solutions in real-life scenarios.
Syllabus
GT - Making & Breaking Machine Learning Anomaly Detectors in Real Life - Clarence Chio
Taught by
BSidesLV