Phillip Rieger M. Sc.

Contact

work +49 6151 16-27348

Work S2|20 303
Pankratiusstraße 2
64289 Darmstadt

Since 2020 Research Assistant and PhD Student

at CYSEC and Technische Universität Darmstadt, Germany

2017-2020 M. Sc. Computer Science

at Technische Universität Berlin, Germany

2013-2017 B.Sc. Computer Science

at Technische Universität Berlin, Germany

2017–2018: Erasmus Year at Aalto University, Finland

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Professional Experience

2014–2017: Student Job at IVU Traffic Technologies AG

2018: Internship in the Secure Systems Group at Aalto University, Finland

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Selected Talks

- 06.11.2024 – The Hitchhiker's Guide to the Privacy and Security of Federated Learning

Summer School on Real-World Crypto and Privacy, Croatia

- 15.02.2024 – Basics of Federated ML

AI Coding Workshop, organized by Plattform Lernende Systeme and TU Darmstadt. Hosted by IBM Innovation Studio, Munich, Germany

- 08.11.2023 – The Hitchhiker's Guide to the Privacy and Security of Federated Learning

Cyber AI Winterschool at UTSA, USA

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Teaching

- 20-00-1174-iv - Let's Make FL Great Again: Securing Federated Learning Against Poisoning Attacks

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Research Interests

I work at the intersection of IT security and AI, focusing on making machine learning models more secure, especially in adversarial settings. My research explores ways to improve model robustness against attacks and protect data privacy, with a particular emphasis on distributed learning. Additionally, I investigate how AI can enhance system security in areas such as IoT security, hate speech detection, and DeepFake detection.

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Further Profiles

- LinkedIn: [Phillip Rieger]

- Google Scholar: [Phillip Rieger]

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