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
Stefan Czybik, Daniel Arp, Konrad Rieck
Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing
Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring
Misleading Deep-Fake Detection with GAN Fingerprints
Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems
Jan Malte Hilgefort, Daniel Arp, Konrad Rieck
Spying through Virtual Backgrounds of Video Calls
Research Group Lead