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Machine Learning and Security


Prof. Dr. Konrad Rieck


Technische Universität Berlin
Ernst-Reuter-Platz 7, 10587 Berlin

Intelligent systems for computer protection, Security and privacy of ML, Attacks and defenses in ML security


The research group led by Prof. Dr. Konrad Rieck conducts fundamental research at the intersection of computer security and machine learning. On the one end, we are interested in developing intelligent systems that can learn to protect computers from attacks and identify security problems automatically. On the other end, we explore the security and privacy of machine learning by developing novel attacks and defenses.

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

Dos and Don’ts of Machine Learning in Computer Security

August 10 , 2022

Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring

Misleading Deep-Fake Detection with GAN Fingerprints

January 01 , 2022

Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger

LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems

December 06 , 2021

Jan Malte Hilgefort, Daniel Arp, Konrad Rieck

Spying through Virtual Backgrounds of Video Calls

November 15 , 2021

Prof. Dr. Konrad Rieck

Research Group Lead