Svetlana Pavlitskaya

17 papers A 1Journal 7Unranked 9

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
2022	J	`jnl`	Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
2022	J	`jnl`	Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs. CoRR Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner
2022	—	`conf`	Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. AISafety@IJCAI Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner
2022	J	`jnl`	Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. CoRR Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner
2022	—	`conf`	Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles. SSCI Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf, Marc Rene Zofka, J. Marius Zöllner
2022	—	`conf`	Is Neuron Coverage Needed to Make Person Detection More Robust? CVPR Workshops Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner
2022	J	`jnl`	Is Neuron Coverage Needed to Make Person Detection More Robust? CoRR Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner
2022	—	`conf`	Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. SSCI Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner
2022	J	`jnl`	Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. CoRR Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner
2022	J	`jnl`	Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. CoRR Svetlana Pavlitskaya, Jonas Hendl, Sebastian Kleim, Leopold Müller, Fabian Wylczoch, J. Marius Zöllner
2021	—	`conf`	Adversarial Black-Box Attacks on Vision-based Deep Reinforcement Learning Agents. ISR Atanas Tanev, Svetlana Pavlitskaya, Joan Sigloch, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner
2021	J	`jnl`	Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
2020	—	`conf`	Feasibility and Suppression of Adversarial Patch Attacks on End-to-End Vehicle Control. ITSC Svetlana Pavlitskaya, Sefa Ünver, J. Marius Zöllner
2020	—	`conf`	Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner
2019	A	`conf`	Modeling and Training of Neural Processing Systems. MoDELS Evgeny Kusmenko, Sebastian Nickels, Svetlana Pavlitskaya, Bernhard Rumpe, Thomas Timmermanns
2019	—	`conf`	On the Engineering of AI-Powered Systems. ASE Workshops Evgeny Kusmenko, Svetlana Pavlitskaya, Bernhard Rumpe, Sebastian Stüber