05-17, 13:00–16:00 (US/Eastern), Workshop 1
Our training provides an intuitive introduction to machine learning 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 vulnerabilities in state-of-the-art machine learning methodologies, including adversarial learning, model stealing, data poisoning, and model inference. Participants will work with vulnerable ML applications to gain a thorough understanding of these vulnerabilities and learn possible mitigation strategies. Our training provides practical knowledge that security
professionals can apply in their work
English
Sagar Bhure is a highly accomplished Security Researcher with a proven track record of excellence in
his research on security. He is a filed patent holder with the US for his innovative work on ML and Security
and has published several papers on the subject in top-tier journals. He currently leads various projects
at OWASP, including the prestigious "ML Security Top 10" , an OWASP flagship project. Sagar has spoken
at several industry-leading international conferences, including Hack in Paris, BlackHat, OWASP, and
APISecure. He is regarded as a respected thought leader in the cybersecurity community, frequently
invited to speak at conferences and workshops on topics related to offensive and defensive security.
Sagar’s engaging presentations have helped to educate security professionals with cutting-edge research
and tools to strengthen their security toolkits.