Data Train

Security and privacy ST-LE-2026-13

by Prof. Dieter Hutter (Deutsches Forschungszentrum für Künstliche Intelligenz)

Europe/Berlin
Room 2.2070/2.2090, 2nd floor + Zoom (hybrid)

Room 2.2070/2.2090, 2nd floor + Zoom

hybrid

Unicom 2 (Haus Oxford) Mary-Somerville-Straße 2 28359 Bremen
Description

Motivation

Security and privacy are key aspects in developing and maintaining trustworthy systems. A lack of security results in vulnerable systems that are exposed unprotected to potential attackers and are presenting an incalculable economical and personal risk. As personal data has become the new currency in the digital era, its protection from unauthorized processing and distribution is a key issue to preserve the privacy and self-determination of individuals.

Learning contents

  • Techniques to measure and enhance the security / privacy of IT-systems
  • Security: security protocols, security policies and their enforcement (e.g. access-control, dataflow control)
  • Privacy: GDPR, privacy-enhancing techniques (e.g. differential privacy, k-anonymity)

Learning objectives

This course provides basic knowledge in security and privacy techniques and sketches their underlying foundations.

Prior knowledge

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Further reading

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Organized by

Data Train / U Bremen Research Alliance

Registration
Registration