Prof. Dr. Konrad Rieck

TEL 806 (above 7½th floor)
Technische Universität Berlin
Machine Learning and Security, TEL 8-2
Ernst-Reuter-Platz 7
10587 Berlin, Germany

About me

I am a Professor of Computer Science at TU Berlin, where I head the Chair of Machine Learning and Security within the Berlin Institute for the Foundations of Learning and Data. Additionally, I am a Guest Professor at TU Wien. Previously, I have been working at TU Braunschweig, University of Göttingen, and Fraunhofer Institute FIRST.

My research interests revolve around computer security and machine learning. My group is developing novel methods for detecting computer attacks, analyzing malicious software and discovering security vulnerabilities. Moreover, we explore the security and privacy of learning algorithms. I am also interested in efficient algorithms for analyzing structured data, such as strings, trees, and graphs.

My Erdős number is 3 (Müller → Jagota → Erdős) and my Bacon number is ∞. I am a very distant academic relative of Carl Friedrich Gauß (see here), although this doesn't help when solving math problems.

Selected Publications

Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting.
Robin Kirchner, Jonas Möller, Marius Musch, David Klein, Konrad Rieck and Martin Johns.
Proc. of the 33rd USENIX Security Symposium, 2024. (to appear)


No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz and Konrad Rieck.
Proc. of the 32nd USENIX Security Symposium, 2023.

PDF Code

Machine Unlearning of Features and Labels.
Alexander Warnecke, Lukas Pirch, Christian Wressnegger and Konrad Rieck.
Proc. of the 30th Network and Distributed System Security Symposium (NDSS), 2023.

PDF Code

Dos and Don'ts of Machine Learning in Computer Security.
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro and Konrad Rieck.
Proc. of the 31st USENIX Security Symposium, 2022.
Distinguished Paper Award

PDF Project

See all publications.


  • USENIX Security Distinguished Paper Award 2022
  • ERC Consolidator Grant 2021
  • AISEC Best Paper Award 2021
  • Winner of Microsoft MLSEC competition 2020
  • LehrLeo: Best Lecture at TU Braunschweig 2019
  • LehrLeo: Best Lab Course at TU Braunschweig 2019
  • German Prize for IT-Security 2016 (2nd Place)
  • DIMVA Best Paper Award 2016
  • Google Faculty Research Award 2014
  • ACSAC Outstanding Paper Award 2012
  • CAST/GI Dissertation Award IT-Security 2010

Academic Memberships

Conference and Workshop Organization

Reviewing Awards

  • SATML Notable Reviewer Award 2024
  • ACSAC Top Reviewer Award 2023
  • RAID Noteworthy Reviewer Award 2023
  • USENIX Security Noteworthy Reviewer Award 2023
  • CCS Top Reviewer Award 2022
  • DLS Outstanding Reviewer Award 2018
  • RAID Outstanding Reviewer Award 2015

Recent PC Memberships

Review and Email Activity

For fun, I am tracking my reviewing and email activity. Here are two plots showing my reviewing activity over the last years. As you can see, I am writing a lot of reviews per year. Most of the time, this is fun.

Statistics of reviewing
Statistics of review length

Similarly, here are two plots showing the number of incoming and outgoing emails on my university account over the last two weeks. The average and standard deviation are calculated over several years (see week number in legend).

Statistics of incoming emails
Statistics of outgoing emails

Influential Security Papers

I am maintaining a list of top-cited security papers. The list is automatically created based on citations of papers published at the four tier-1 security conferences.

Whenever Possible

I am a member of "Verband der krawattenlosen Wissensträger" (VDKW)