Securing the Software Development Life Cycle with Machine Learning


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This session will cover how to identify and track security bugs in the software development life cycle using machine learning and natural language processing, including from basic concepts to handling practical problems such as mislabeled entries in the training datasets, privacy issues and deployment strategies. The talk will be self-contained and aimed at an audience of security practitioners.

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Participants
Scott Christiansen

Participant

Senior Security Program Manager, Microsoft

Mayana Pereira

Participant

Data Scientist, Microsoft


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