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08/01/2023
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
Autonomous flying robots, such as multirotors, often rely on deep learni...
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05/22/2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Autonomous flying robots, e.g. multirotors, often rely on a neural netwo...
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03/09/2023
Mark My Words: Dangers of Watermarked Images in ImageNet
The utilization of pre-trained networks, especially those trained on Ima...
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03/01/2023
Finding the right XAI method – A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Explainable artificial intelligence (XAI) methods shed light on the pred...
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02/14/2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Explainable AI (XAI) is a rapidly evolving field that aims to improve tr...
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06/09/2022
DORA: Exploring outlier representations in Deep Neural Networks
Deep Neural Networks (DNNs) draw their power from the representations th...
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02/14/2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations
The evaluation of explanation methods is a research topic that has not y...
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01/26/2022
Visualizing the diversity of representations learned by Bayesian neural networks
Explainable artificial intelligence (XAI) aims to make learning machines...
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01/10/2022
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
The recent trend of integrating multi-source Chest X-Ray datasets to imp...
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09/29/2021
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout
Self-supervised learning methods can be used to learn meaningful represe...
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08/27/2021
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
Current machine learning models have shown high efficiency in solving a ...
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08/23/2021
Explaining Bayesian Neural Networks
To make advanced learning machines such as Deep Neural Networks (DNNs) m...
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06/18/2021
NoiseGrad: enhancing explanations by introducing stochasticity to model weights
Attribution methods remain a practical instrument that is used in real-w...
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06/16/2020