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Secure Mobile and Autonomous Systems

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Secure Mobile and Autonomous Systems

Faulty computer systems allow for spying on, as well as sabotaging even the most security-critical infrastructures -- this means that in daily life, our energy supply network, water supply, health network, communication network, transportation network, etc. are under continuous risk. Moreover, mobile, real-time and embedded systems are part of virtually all modern technologies such as cars, airplanes, robotics, etc, creating an even larger attack surface. When we in addition consider how strongly many of these systems are interconnected, that they can take autonomous decisions, and the implied efficiency and speed of attacks, it is easy to see we need a next generation of attack response that has to be autonomous and spontaneous as well. This research area explores the secure and dependable design and implementation of exactly such mobile and autonomous systems in security-critical domains. It strives to eventually span the entire range from the exploration of fundamental algorithmic issues to actual systems-building, and it particularly emphasizes the intersection of both research approaches. In the last years, topics of particular importance within this research area were: Android security in various facets, ranging from the in-depth analysis and testing of Android applications and the Android middleware, to Android security extensions, usability studies and solutions to the problems identified therein; as well as investigating the use of machine learning techniques in various security-relevant domains, in particular contributing to the novel area of adversarial machine learning in order to account for manipulated data that is input to autonomous systems.

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Most Recent Publications

Title Date Authors Meta
 2019
2019
 Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
 NRA1 , NRA4
 International Conference on Representation Learning (ICLR)
 2019
NDSS
2019
 Abdallah Dawoud, Sven Bugiel
 NRA4
 NDSS Symposium 2019
 2019
WACV
2019
 Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
 NRA1 , NRA4
 IEEE Winter Conference on Applications of Computer Vision (WACV)
 2019
CVPR
2019
 Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
 NRA1 , NRA4
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
 2019
ISSTA
2019
 Christian Degott, Nataniel Pereira Borges Jr., Andreas Zeller
 NRA4
 ACM SIGSOFT International Symposium on Software Testing and Analysis