Explainable AI with applications to Cybersecurity at Oracle

ETHZ Zentrum Campus, HG E3, Rämistrasse 101, Zürich, 8092

Matteo Casserini, Machine Learning Lead at Oracle Labs in Zurich will introduce their key research topic with the role of anomaly detection techniques in real-world security applications, and how ML explainability and interpretability is necessary in order to translate the anomalies detected in the system into actionable events.

Jun 2, 2022, 3:00 – 4:00 PM

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Key Themes

Career DevelopmentMachine Learning

About this event

Machine learning is increasingly applied in the cybersecurity domain in order to build solutions capable of protecting against attacks that escape rule-based systems. Attacks are nowadays constantly evolving, since adversaries are always creating new approaches or tweaking existing ones: it is thus not possible to rely exclusively on supervised techniques. This talk will focus on the role of anomaly detection techniques in real-world security applications, and how explainability is necessary in order to translate the anomalies detected by the system into actionable events.

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When

When

Thursday, June 2, 2022
3:00 PM – 4:00 PM UTC

Speaker

  • Matteo Casserini

    Oracle Labs

    Lead ML Engineer

Partner

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Lead The Future

Organizers

  • Sarper Melik Ertekin

    ETH Zurich

    GDSC Lead

  • Arthur Serres

    ETH Zürich

    GDSC Lead

  • Bahar Açılan

    ETH Zürich

    GDSC Lead

  • Simon Sure

    ETH Zürich

    Core Team Member

  • Annina Oswald

    ETH Zurich

    Core Team Member

  • Marcel Pokorski

    ETH Zurich

    Core Team Member

  • Nicola Stella

    Core Team Member

  • JB Conan

    Core Team Member

  • Léon Noirclerc

    ETH

    Core Team Member

  • Anna Stawiska

    Core Team Member

  • Athena Schumacher

    Core Team Member

  • Hugo Fabrègues

    Core Team Member

  • Eric Nerger

    ETH Zürich

    Core Team Member

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