Challenges in adopting Machine Learning for Cybersecurity

Thu 05May2022
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Desislava Dimitrova & Matteo Casserini, Oracle Labs

From 12.00 until 13.30

At CNB/F/110 (Lunch) + CAB H 52 (Seminar), ETH Zurich

CNB/F/110 (Lunch) + CAB H 52 (Seminar), ETH Zurich

Abstract:

Machine learning can be a powerful ally in fighting Cybercrime provided that few challenges in its application can be solved. The Keybridge team at Oracle Labs has experience with developing ML solutions for security use cases. In this talk we would like to share those experiences and discuss three challenges - selecting an ML model, handling of input data (specifically system logs) and transferring to security teams. In the latter challenge, we are particularly interested in bridging the two-way gap in understanding between security teams and ML practitioners. 

Join us in CNB/F/110 (Lunch) + CAB H 52 (Seminar).

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