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UID:pretalx-2024-998BPC@cfp.nsec.io
DTSTART;TZID=EST:20240517T130000
DTEND;TZID=EST:20240517T160000
DESCRIPTION:Our training provides an intuitive introduction to machine lear
 ning for security professionals with no prior knowledge of mathematics or 
 ML. In the ML4SEC section attendees will gain hands-on experience building
  MLpowered defensive and offensive security tools using popular libraries 
 like Tensorflow\, Keras\, Pytorch\, and sklearn. We’ll cover the entire 
 ML pipeline\, from pre-processing data to building\, training\, evaluating
 \, and predicting with ML models. In the SEC4ML section we’ll address vu
 lnerabilities in state-of-the-art machine learning methodologies\, includi
 ng adversarial learning\, model stealing\, data poisoning\, and model infe
 rence. Participants will work with vulnerable ML applications to gain a th
 orough understanding of these vulnerabilities and learn possible mitigatio
 n strategies. Our training provides practical knowledge that security\npro
 fessionals can apply in their work
DTSTAMP:20260311T214236Z
LOCATION:Workshop 1
SUMMARY:Machine Learning For Security Professionals: Building And Hacking M
 L Systems - Sagar Bhure
URL:https://cfp.nsec.io/2024/talk/998BPC/
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