Explore the evolving landscape of cybersecurity in this BSidesLV conference talk that delves into the challenges and opportunities presented by machine learning-based software. Gain insights into the fundamentals of machine learning and its applications in security, examining both offensive and defensive strategies. Review relevant academic literature and engage with a practical case study that illustrates key concepts. Witness a live demonstration showcasing the potential vulnerabilities and protective measures in machine learning systems. Conclude with a comprehensive understanding of the new "cat and mouse game" emerging in the realm of AI-driven software security.
The New Cat and Mouse Game - Attacking and Defending Machine Learning Based Software
Overview
Syllabus
Introduction
Software is eating the world
Machine Learning Basics
Machine Learning Security
Academic Literature
Case Study
Demonstration
Conclusion
Taught by
BSidesLV
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