Faulty computer systems are nowadays used for spying on and sabotaging even the most security-critical infrastructures (e.g., energy supply network, water supply, health network, communication network, transportation network). Moreover, mobile, real-time and embedded systems are virtually part of most modern technologies such as cars, airplanes, and increasingly mobile and autonomous systems such as robotics, IoT, smart home, and Industry 4.0. When we consider the interconnectedness of such systems, their (future) ability to take autonomous decisions based on externally collected information, and the implied efficiency and speed of attacks, we have the obvious requirement that security management (including responses to attacks) has to become autonomous and spontaneous as well. This research area explores the secure and dependable design and implementation of 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.
Most Recent Publications
|Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective||2018||2018 Apratim Bhattacharyya, Bernt Schiele, Mario Fritz,||IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|
|Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images||2018||2018 Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele,||IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|
|Disentangled Person Image Generation||2018||2018 Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz,||IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|
|Long-Term Image Boundary Prediction||2018||2018 Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz,||Association for the Advancement of Artificial Intelligence (AAAI)|
|Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty||2018||2018 Apratim Bhattacharyya, Mario Fritz, Bernt Schiele,||IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|