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Explore the application of Machine Learning in offensive security research through this 45-minute conference talk from Hack in Paris. Delve into techniques for automating crash analysis and exploit development using AI. Learn how ML can accelerate the triage process for identifying exploitable bugs in crash dumps, saving time and effort for security researchers. Discover the potential of ML in pattern matching and scaling offensive research, as well as its applications in both offensive and defensive security. Witness a live demonstration of ML-driven exploit categorization and gain insights into fuzzing techniques, crash analysis, and the future of AI-assisted vulnerability research.
