10 citations · 36 across the 13 of their papers we have counts for
13 papers
Experts Disagree on How to Fight AI Disinformation, but Agree That Health and Politics Need Different Solutions
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
When 54 international experts assessed AI-generated disinformation threats, they revealed a surprising pattern: while video deepfakes received the highest average threat ratings in…
Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
Generative AI enables customized misinformation at scale, yet defenses remain largely reactive. We present empirical findings from a human-subject study (n=504 participants, n=2,43…
CRED-1: An Open Multi-Signal Domain Credibility Dataset for Automated Pre-Bunking of Online Misinformation
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
This article presents CRED-1, an open, reproducible domain-level credibility dataset combining two openly-licensed source lists (OpenSources.co and Iffy.news) with four computed en…
Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
As foundation models (FMs) approach human-level fluency, distinguishing synthetic from organic content has become a key challenge for Trustworthy Web Intelligence. This paper prese…
Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
Generative AI and misinformation research has evolved since our 2024 survey. This paper presents an updated perspective, transitioning from literature review to practical counterme…
Origin Lens: A Privacy-First Mobile Framework for Cryptographic Image Provenance and AI Detection
Alexander Loth, Dominique Conceicao Rosario, Peter Ebinger +2
The proliferation of generative AI poses challenges for information integrity assurance, requiring systems that connect model governance with end-user verification. We present Orig…
The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
The growth of Generative Artificial Intelligence (GenAI) has shifted disinformation production from manual fabrication to automated, large-scale manipulation. This article presents…
Blessing or curse? A survey on the Impact of Generative AI on Fake News
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
Fake news significantly influence our society. They impact consumers, voters, and many other societal groups. While Fake News exist for a centuries, Generative AI brings fake news…
Collaborative Cybersecurity Using Blockchain: A Survey
Loïc Miller, Marc-Oliver Pahl
Collaborative cybersecurity relies on organizations sharing information to boost security, but trust management is a key concern. Decentralized solutions like distributed ledgers,…
A Generalized TDoA/ToA Model for ToF Positioning
Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl +1
Many applications require positioning. Time of Flight (ToF) methods calculate distances by measuring the propagation time of signals. We present a novel ToF localization method. Ou…
Clock Error Analysis of Common Time of Flight based Positioning Methods
Maximilian von Tschirschnitz, Marcel Wagner, Marc-Oliver Pahl +1
Today, many applications such as production or rescue settings rely on highly accurate entity positioning. Advanced Time of Flight (ToF) based positioning methods provide highaccur…
Rule-Based Translation of Application-Level QoS Constraints into SDN Configurations for the IoT
Jan Seeger, Arne Bröring, Marc-Oliver Pahl +1
In this paper, we propose an approach for the automated translation of application-level requirements regarding the logical workflow and its QoS into a configuration of the underly…
Deep Learning-aided Application Scheduler for Vehicular Safety Communication
Mohammad Irfan Khan, François-Xavier Aubet, Marc-Oliver Pahl +1
802.11p based V2X communication uses stochastic medium access control, which cannot prevent broadcast packet collision, in particular during high channel load. Wireless congestion…