![[This image depicts a scene set in a field during what appears to be early morning or late afternoon, judging by the soft lighting. In the foreground, there is a large, professional-looking drone hovering in the air with red lights on its arms, suggesting it's active. The drone has four rotors and is equipped with a camera and other sensors. It is facing a person who is standing in the middle ground, observing or controlling it. This individual is wearing a dark helmet, a blue jacket, and is carrying a backpack, indicating they might be a professional drone operator. The person is facing away from the camera, looking at the drone. The background features rows of crops extending towards the horizon, with trees and a hazy mountain range in the far distance, all bathed in a warm, hazy light that suggests either a sunrise or sunset ambiance. The overall setting suggests that the drone may be used for agricultural purposes, perhaps surveying or monitoring the crops.] (Text generated by ChatGPT4)](https://www.tuwien.at/doc/trustacps/wp-content/uploads/2024/01/adobestock-679276749-1800x502.jpeg)
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TrustACPS Doctoral College- Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu, Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 8216-8225
- Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu, Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels, Accepted at ICLR 2024
- Wasim Essbai, Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini, A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers, DeepTest ’24: Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2024, pp. 25-32
- Anagha Athavale, Ezio Bartocci, Maria Christakis, Matteo Maffei, Dejan Nickovic, Georg Weissenbacher, Verifying Global Two-Safety Properties in Neural Networks with Confidence, Computer Aided Verification (CAV), 2024, pp. 329–351
- Hossein Rahmani, Stefan Biffl, Kristof Meixner, David Hoffmann, Arndt Lüder, Dietmar Winkler, Business Risk Analysis of Production Variants Considering Technical Dependencies, Accepted at CBI+EDOC’24
- Sebastian Wiedemann, Jakob Zwirchmayr, Andreas Steininger, Towards Software-Based Vendor-Independent Preemption for Hardware Accelerated Workloads, 2024 Austrochip Workshop on Microelectronics (Austrochip), Vienna, Austria, 2024, pp. 1-4