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Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
Many optimization methods for generating black-box adversarial examples ...
06/14/2019 ∙ by Thomas Brunner, et al. ∙
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Edge Contraction Pooling for Graph Neural Networks
Graph Neural Network (GNN) research has concentrated on improving convol...
05/27/2019 ∙ by Frederik Diehl, et al. ∙
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Leveraging Semantic Embeddings for Safety-Critical Applications
Semantic Embeddings are a popular way to represent knowledge in the fiel...
05/19/2019 ∙ by Thomas Brunner, et al. ∙
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Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Although many research vehicle platforms for autonomous driving have bee...
05/08/2019 ∙ by Tobias Kessler, et al. ∙
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Graph Neural Networks for Modelling Traffic Participant Interaction
By interpreting a traffic scene as a graph of interacting vehicles, we g...
03/04/2019 ∙ by Frederik Diehl, et al. ∙
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Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
We consider adversarial examples in the black-box decision-based scenari...
12/24/2018 ∙ by Thomas Brunner, et al. ∙
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Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives
We propose a methodology for designing dependable Artificial Neural Netw...
09/04/2017 ∙ by Chih-Hong Cheng, et al. ∙
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