Portrait

Prof. Dr. Konrad Rieck

Telephone
Room
TEL 806 (above 7½th floor)
Address
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 Technische Universität Berlin, where I head the Chair of Machine Learning and Security within the Berlin Institute for the Foundations of Learning and Data (BIFOLD). Previously, I have been working at Technische Universität 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.

Recent Publications

Detecting Backdoors in Collaboration Graphs of Software Repositories.
Tom Ganz, Inaam Ashraf, Martin Härterich and Konrad Rieck.
Proc. of the 14th ACM Conference on Data and Applications Security and Privacy (CODASPY), 2023.

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

Improving Malware Detection with Explainable Machine Learning.
Michele Scalas, Konrad Rieck and Giorgio Giacinto.
Explainable Deep Learning AI: Methods and Challenges, Elsevier, 2023.

Möglichkeiten und Grenzen KI-gestützter Analyse digitaler Spuren.
Andreas Dewald, Felix Freiling, Tobias Gross, Dennis Kniel, Robert Michael and Konrad Rieck.
Kriminalistik, Jan, 2023.

See all publications.

Awards

  • CCS Top Reviewer Award 2022
  • 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
  • DLS Outstanding Reviewer Award 2018
  • German Prize for IT-Security 2016 (2nd Place)
  • DIMVA Best Paper Award 2016
  • RAID Outstanding Reviewer Award 2015
  • Google Faculty Research Award 2014
  • ACSAC Outstanding Paper Award 2012
  • CAST/GI Dissertation Award IT-Security 2010

Academic Memberships

Conference and Workshop Organization

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)