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Matthias König

9 accepted papers

2025

Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification

AAAI 2025technical

With the rising use of neural networks across various application domains, it becomes increasingly important to ensure that they do not exhibit dangerous or undesired behaviour. In light of this, several neural network robustness verification algorithms have been developed, among which methods based…

2024

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing

AAAI 2024technical

Recent research has introduced several approaches to formally verify the robustness of neural network models against perturbations in their inputs, such as the ones that occur in adversarial attacks. At the same time, this particular verification task is known to be computationally challenging. More…

Cited by 2SourcePDFScholar
2024

Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes

IJCAI 2024poster

In formal argumentation one aims for intuitive and concise justifications for the acceptance of arguments. Discussion games and dispute trees are established methods to obtain such a justification. However, so far these techniques are based on instantiating the knowledge base into graph-based Dung s…

Cited by 0SourcePDFScholar
2024

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

AAAI 2024technical

Assumption-based argumentation (ABA) is a powerful defeasible reasoning formalism which is based on the interplay of assumptions, their contraries, and inference rules. ABA with preferences (ABA+) generalizes the basic model by allowing qualitative comparison between assumptions. The integration of…

Cited by 5SourcePDFScholar
2022

Tractable Abstract Argumentation via Backdoor-Treewidth

AAAI 2022technical

Argumentation frameworks (AFs) are a core formalism in the field of formal argumentation. As most standard computational tasks regarding AFs are hard for the first or second level of the Polynomial Hierarchy, a variety of algorithmic approaches to achieve manageable runtimes have been considered in…

2019

An Evaluation of Robot-to-Human Handover Configurations for Commercial Robots

IROS 2019poster

The handover of objects is a fundamental task in robot-human interaction. The nature of the handover can be varied by adjusting various parameters in order to achieve a human-like interaction. In this paper the final handover configuration is examined and analyzed. For this purpose, we conducted an…

Cited by 7SourceScholar
2019

Learning Virtual Borders through Semantic Scene Understanding and Augmented Reality

IROS 2019poster

Virtual borders are an opportunity to allow users the interactive restriction of their mobile robots' workspaces, e.g. to avoid navigation errors or to exclude certain areas from working. Currently, works in this field have focused on human-robot interaction (HRI) methods to restrict the workspace.…

Cited by 14SourceScholar
2018

The Power of Color: A Study on the Effective Use of Colored Light in Human-Robot Interaction

IROS 2018poster

In times of more and more complex interaction techniques, we point out the powerfulness of colored light as a simple and cheap feedback mechanism. Since it is visible over a distance and does not interfere with other modalities, it is especially interesting for mobile robots. In an online survey, we…

Cited by 25SourceScholar
2018

Virtual Borders: Accurate Definition of a Mobile Robot's Workspace Using Augmented Reality

IROS 2018poster

We address the problem of interactively controlling the workspace of a mobile robot to ensure a human-aware navigation. This is especially of relevance for non-expert users living in human-robot shared spaces, e.g. home environments, since they want to keep the control of their mobile robots, such a…

Cited by 22SourceScholar