Prof. Dr. Konrad Rieck

Email

rieck@tu-berlin.de

Telephone

+49 30 314-77591

Room

FR 758 (see 7½th floor)

Address

BIFOLD & TU Berlin
Machine Learning and Security (FR7-4)
Franklinstraße 28-29
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. Previously, I have been working at TU Braunschweig, University of Göttingen, and Fraunhofer Institute FIRST. Additionally, I have been a Guest Professor at TU Wien in 2024.

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.

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). My weak spot is my ha-index of 65, which many of my students surpass.

Selected Publications

A Large-Scale Study of Personalized Phishing using Large Language Models.
Stefan Czybik, Anne Josiane Kouam, Peter Heubl, Jan Magnus Nold and Konrad Rieck.
35th USENIX Security Symposium, 2026. (to appear)

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LLM-based Vulnerability Discovery through the Lens of Code Metrics.
Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer and Konrad Rieck.
48th IEEE/ACM International Conference on Software Engineering (ICSE), 2026. (to appear)

PDF Code

Manipulating Feature Visualizations with Gradient Slingshots.
Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Sebastian Lapuschkin and Kirill Bykov.
Advances in Neural Information Processing Systems 39 (NeurIPS), 2025.

PDF Code

Adversarial Observations in Weather Forecasting.
Erik Imgrund, Thorsten Eisenhofer and Konrad Rieck.
32nd ACM Conference on Computer and Communications Security (CCS), 2025.
Distinguished Paper Award

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Seeing through: Analyzing and Attacking Virtual Backgrounds in Video Calls.
Felix Weißberg, Jan-Malte Hilgefort, Steve Grogorick, Daniel Arp, Thorsten Eisenhofer, Martin Eisemann and Konrad Rieck.
34th USENIX Security Symposium, 2025.

PDF Code Data

See all publications.

Awards

ACSAC Test-of-Time Award 2025
CCS Distinguished Paper Award 2025
USENIX Security Distinguished Paper Award 2024
IEEE S&P Test-of-Time Award 2024
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

European Laboratory for Learning and Intelligent Systems (ELLIS)
BMBF Plattform Lernende Systeme: WG 3 IT Security, Privacy, Legal and Ethical Framework
Editorial Board of the ACM Transactions on AI Security and Privacy (TAISAP) 2025—2028
Editorial Board of the Journal of Machine Learning Research (JMLR) 2013—2019
Guest editor of the special issue "Autonomous AI Agents in Computer Security" in IEEE S&P 2025
Guest editor of the special issue "Adversarial Machine Learning" in OJSP 2023
Guest editor of the special issue "Vulnerability Analysis" in Information Technology 2016
Guest editor of the special issue "Threat Detection, Analysis and Defense" in JISA 2013
Jury of the German IT Security Award 2022, 2024, 2026
Jury of CAST/GI Dissertation Award IT-Security 2016—2025
Jury of Dutch Cyber Security Research Paper Award 2018
Steering committee of the IEEE Workshop on Deep Learning and Security (DLS)
Steering committee of the ACM Workshop on Robust Malware Analysis (WORMA)
Steering committee of the SIG Intrusion Detection and Response (SIDAR)

Conference and Workshop Organization

PC Chair, Annual Computer Security Applications Conference (ACSAC'26 & 27)
Organizer, Dagstuhl Seminar Autonomous AI Agents in Computer Security, 2026
PC Chair, IEEE Conference on Secure and Trustworthy Machine Learning (SATML'25 & 26)
Organizer, Dagstuhl Seminar Security of Machine Learning, 2022
PC Chair, IEEE Workshop on Deep Learning and Security (DLS'19)
PC Chair, ACM European Workshop on Systems Security (EUROSEC'18 & 19)
PC Chair, GI Conference on Detection of Intrusions and Malware (DIMVA'13)
PC Chair, IEEE European Conference on Computer Network Defense (EC2ND'10)

Reviewing Awards

ACSAC Distinguised Reviewer Award 2024
EuroS&P Distinguished Reviewer Award 2024
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

2026: IEEE S&P; USENIX SEC; ACM CCS; IEEE SATML;
2025: USENIX SEC; ACM CCS; RAID; IEEE SATML; DIMVA; AISEC;
2024: USENIX SEC; ACM CCS; EUROS&P; ACSAC; IEEE SATML; DIMVA; DLSP; AISEC; LAMPS;
2023: IEEE S&P; USENIX SEC; ACM CCS; RAID; ACSAC; IEEE SATML; DIMVA; DLSP;
2022: USENIX SEC; ACM CCS; RAID; DIMVA; DLS; AISEC; MADWEB;
2021: IEEE S&P; USENIX SEC; ACM CCS; NDSS; RAID; DLS; AISEC; MADWEB; BAR; ROOTS;
2020: IEEE S&P; USENIX SEC; ACM CCS; NDSS; EUROSEC; DLS; AISEC; ROOTS;
2019: IEEE S&P; USENIX SEC; ACSAC; RAID; EUROS&P; SAC; SCAINET; EUROSEC; DLS;
2018: ACSAC; ICDCS; DIMVA; ASIACCS; SAC; EUROSEC; DLS; AISEC;
2017: ACSAC; DIMVA; ASIACCS; SAC; AISEC; EUROSEC; LASER; ROOTS;
2016: ACM CCS; ACSAC; RAID; EUROS&P; DIMVA; SAC; SEC; AISEC; EUROSEC;

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.

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).

Whenever Possible

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