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Natalie Karrenbauer is an Assistant Professor at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. Her research is centered on the intersection of machine learning, privacy, and security. She focuses on developing robust and privacy-preserving machine learning algorithms, particularly in the context of federated learning and data anonymization. Dr. Karrenbauer investigates the vulnerabilities of AI systems to various attacks (e.g., membership inference, model inversion) and aims to build trustworthy AI by designing defense mechanisms and formal privacy guarantees like differential privacy. She completed her PhD at ETH Zurich and has contributed significantly to the field through publications in top-tier security and privacy conferences.
Natalie Karrenbauer's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Awarded a prestigious European Research Council (ERC) Starting Grant for her project 'Foundations of Trustworthy Federated Learning (TRUSTFLL)' to advance research in secure and private machine learning.
Received the highly competitive Google PhD Fellowship in Privacy and Security in 2017 during her doctoral studies at ETH Zurich, recognizing her promising research potential.
Has a strong publication record with papers accepted at leading international conferences and journals in security and privacy, such as USENIX Security Symposium, ACM Conference on Computer and Communications Security (CCS), and Privacy Enhancing Technologies Symposium (PETS).
Frequently invited to give talks at academic and industry events, and serves on program committees for major security and privacy conferences, contributing to the peer-review process and shaping the research landscape.
University of Illinois Urbana-Champaign
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
The Trade Desk is a global technology company that empowers buyers of advertising. Through its self-service, cloud-based platform, ad buyers can create, manage, and optimize data-driven digital advertising campaigns across ad formats and devices. It provides a transparent and independent media buying platform, enabling advertisers and agencies to reach their target audiences effectively and efficiently across the open internet.
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