Svetlana Pavlitska

According to our database, Svetlana Pavlitska authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial Attacks on Traffic Sign Recognition: A Survey.

Svetlana Pavlitska, Nico Lambing, J. Marius Zöllner

CoRR, 2023

Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence.

Svetlana Pavlitska, Hannes Grolig, J. Marius Zoellner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Conditioning Latent-Space Clusters for Real-World Anomaly Classification.

Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Traffic Light Recognition using Convolutional Neural Networks: A Survey.

Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey.

Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner

Proceedings of the IEEE International Smart Cities Conference, 2023

Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability.

Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection.

Svetlana Pavlitskaya, Jonas Hendl, Sebastian Kleim, Leopold Müller, Fabian Wylczoch, J. Marius Zöllner

CoRR, 2022

Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs.

Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner

CoRR, 2022

Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise.

Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles.

Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf, Marc Rene Zofka, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection.

Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Adversarial Vulnerability of Temporal Feature Networks for Object Detection.

Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Is Neuron Coverage Needed to Make Person Detection More Robust?

Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

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

CoRR, 2021

Adversarial Black-Box Attacks on Vision-based Deep Reinforcement Learning Agents.

Atanas Tanev, Svetlana Pavlitskaya, Joan Sigloch, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner

Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021

2020

Feasibility and Suppression of Adversarial Patch Attacks on End-to-End Vehicle Control.

Svetlana Pavlitskaya, Sefa Ünver, J. Marius Zöllner

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Using Mixture of Expert Models to Gain Insights into Semantic Segmentation.

Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Modeling and Training of Neural Processing Systems.

Evgeny Kusmenko, Sebastian Nickels, Svetlana Pavlitskaya, Bernhard Rumpe, Thomas Timmermanns

Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019

On the Engineering of AI-Powered Systems.

Evgeny Kusmenko, Svetlana Pavlitskaya, Bernhard Rumpe, Sebastian Stüber

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2019