Micha Horlboge

TEL 805
FG Machine Learning and Security
Technische Universität Berlin
Ernst-Reuter-Platz 7
10587 Berlin, Germany

About me

I am a PhD student at Technische Universität Berlin and part of the Chair of Machine Learning and Security within the Berlin Institute for the Foundations of Learning and Data (BIFOLD). My special interest lies in the analysis of code, the exploitation of vulnerabilities and how machine learning can assist human analysts in this tasks.


Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild.
Stefan Czybik, Micha Horlboge and Konrad Rieck.
Proc. of the 23rd ACM Internet Measurement Conference (IMC), 2023. (to appear)

I still know it's you! On Challenges in Anonymizing Source Code.
Micha Horlboge, Erwin Quiring, Roland Meyer and Konrad Rieck.
Technical report, arXiv:2208.12553, 2022.

PDF Link

False Sense of Security: A Study on the Effectivity of Jailbreak Detection in Banking Apps.
Ansgar Kellner, Micha Horlboge, Konrad Rieck and Christian Wressnegger.
Proc. of the 4th IEEE European Symposium on Security and Privacy (EuroS&P), 2019.

PDF Code