311 research outputs found

    Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

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    Mis- and disinformation are a substantial global threat to our security and safety. To cope with the scale of online misinformation, researchers have been working on automating fact-checking by retrieving and verifying against relevant evidence. However, despite many advances, a comprehensive evaluation of the possible attack vectors against such systems is still lacking. Particularly, the automated fact-verification process might be vulnerable to the exact disinformation campaigns it is trying to combat. In this work, we assume an adversary that automatically tampers with the online evidence in order to disrupt the fact-checking model via camouflaging the relevant evidence or planting a misleading one. We first propose an exploratory taxonomy that spans these two targets and the different threat model dimensions. Guided by this, we design and propose several potential attack methods. We show that it is possible to subtly modify claim-salient snippets in the evidence and generate diverse and claim-aligned evidence. Thus, we highly degrade the fact-checking performance under many different permutations of the taxonomy's dimensions. The attacks are also robust against post-hoc modifications of the claim. Our analysis further hints at potential limitations in models' inference when faced with contradicting evidence. We emphasize that these attacks can have harmful implications on the inspectable and human-in-the-loop usage scenarios of such models, and conclude by discussing challenges and directions for future defenses

    Towards a Peaceful Development of Cyberspace - Challenges and Technical Measures for the De-escalation of State-led Cyberconflicts and Arms Control of Cyberweapons

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    Cyberspace, already a few decades old, has become a matter of course for most of us, part of our everyday life. At the same time, this space and the global infrastructure behind it are essential for our civilizations, the economy and administration, and thus an essential expression and lifeline of a globalized world. However, these developments also create vulnerabilities and thus, cyberspace is increasingly developing into an intelligence and military operational area – for the defense and security of states but also as a component of offensive military planning, visible in the creation of military cyber-departments and the integration of cyberspace into states' security and defense strategies. In order to contain and regulate the conflict and escalation potential of technology used by military forces, over the last decades, a complex tool set of transparency, de-escalation and arms control measures has been developed and proof-tested. Unfortunately, many of these established measures do not work for cyberspace due to its specific technical characteristics. Even more, the concept of what constitutes a weapon – an essential requirement for regulation – starts to blur for this domain. Against this background, this thesis aims to answer how measures for the de-escalation of state-led conflicts in cyberspace and arms control of cyberweapons can be developed. In order to answer this question, the dissertation takes a specifically technical perspective on these problems and the underlying political challenges of state behavior and international humanitarian law in cyberspace to identify starting points for technical measures of transparency, arms control and verification. Based on this approach of adopting already existing technical measures from other fields of computer science, the thesis will provide proof of concepts approaches for some mentioned challenges like a classification system for cyberweapons that is based on technical measurable features, an approach for the mutual reduction of vulnerability stockpiles and an approach to plausibly assure the non-involvement in a cyberconflict as a measure for de-escalation. All these initial approaches and the questions of how and by which measures arms control and conflict reduction can work for cyberspace are still quite new and subject to not too many debates. Indeed, the approach of deliberately self-restricting the capabilities of technology in order to serve a bigger goal, like the reduction of its destructive usage, is yet not very common for the engineering thinking of computer science. Therefore, this dissertation also aims to provide some impulses regarding the responsibility and creative options of computer science with a view to the peaceful development and use of cyberspace

    Machine Learning Algorithm for the Scansion of Old Saxon Poetry

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    Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input verses

    Parliament Buildings: The architecture of politics in Europe

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    As political polarisation undermines confidence in the shared values and established constitutional orders of many nations, it is imperative that we explore how parliaments are to stay relevant and accessible to the citizens whom they serve. The rise of modern democracies is thought to have found physical expression in the staged unity of the parliamentary seating plan. However, the built forms alone cannot give sufficient testimony to the exercise of power in political life. Parliament Buildings brings together architecture, history, art history, history of political thought, sociology, behavioural psychology, anthropology and political science to raise a host of challenging questions. How do parliament buildings give physical form to norms and practices, to behaviours, rituals, identities and imaginaries? How are their spatial forms influenced by the political cultures they accommodate? What kinds of histories, politics and morphologies do the diverse European parliaments share, and how do their political trajectories intersect? This volume offers an eclectic exploration of the complex nexus between architecture and politics in Europe. Including contributions from architects who have designed or remodelled four parliament buildings in Europe, it provides the first comparative, multi-disciplinary study of parliament buildings across Europe and across history

    Essays on enterprise social media: moderation, shop floor integration and information system induced organizational change

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    The digital transformation increases the pressure on innovation capabilities and challenges organizations to adapt their business models. In order to cope with the increased competitiveness, organizations face two significant internal challenges: Enabling internal digital collaboration and knowledge sharing as well as information system-induced change. This dissertation will investigate seven related research questions divided in two main parts. The first part focuses on how an organization can foster digital knowledge exchanges and collaboration in global organizations. Enterprise social media has attracted the attention of organizations as a technology for social collaboration and knowledge sharing. The dissertation will investigate how organizations can moderate the employee discourse in such platforms from a novel organizational perspective and provide insights on how to increase the encouragement for employees to contribute and assure content quality. The developed framework will provide detailed moderation approaches. In addition, the risk of privacy concerns associated with organizational interference in the new digital collaboration technologies are evaluated. The second part of the dissertation shifts the focus to the shop floor environment, an area that has faced substantial digital advancements. Those advancements change the organizational role of the shop floor to a more knowledge work-oriented environment. Firstly, a state of research regarding technology acceptance and professional diversity is presented to create an enterprise social media job-characteristic framework. Further, a unique and longitudinal shop floor case study is investigated to derive organizational challenges for enterprise social media and potentials for empowerment. To validate the future shop floor environment needs use cases for the shop floor are derived and a user profile is established. The case study is extended by expert interviews to focus on conceptualizing organizational information systems-induced change. In this regard, the role of work practices, organizational and employee mindset and information system change are integrated into a holistic organizational change model that targets employee empowerment. This dissertation provides a comprehensive overview of enterprise social media from an organizational management and shop floor perspective. It contributes to understanding new digital needs at the shop floor and the information systems-induced change journey towards digital employee empowerment

    Covid Conspiracy Theories in Global Perspective

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    Covid Conspiracy Theories in Global Perspective examines how conspiracy theories and related forms of misinformation and disinformation about the Covid-19 pandemic have circulated widely around the world. Covid conspiracy theories have attracted considerable attention from researchers, journalists, and politicians, not least because conspiracy beliefs have the potential to negatively affect adherence to public health measures. While most of this focus has been on the United States and Western Europe, this collection provides a unique global perspective on the emergence and development of conspiracy theories through a series of case studies. The chapters have been commissioned by recognized experts on area studies and conspiracy theories. The chapters present case studies on how Covid conspiracism has played out (some focused on a single country, others on regions), using a range of methods from a variety of disciplinary perspectives, including history, politics, sociology, anthropology, and psychology. Collectively, the authors reveal that, although there are many narratives that have spread virally, they have been adapted for different uses and take on different meanings in local contexts. This volume makes an important contribution to the rapidly expanding field of academic conspiracy theory studies, as well as being of interest to those working in the media, regulatory agencies, and civil society organizations, who seek to better understand the problem of how and why conspiracy theories spread

    Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry

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    United Nations' Sustainable Development Goal 14 aims to conserve and sustainably use the oceans and their resources for the benefit of people and the planet. This includes protecting marine ecosystems, preventing pollution, and overfishing, and increasing scientific understanding of the oceans. Achieving this goal will help ensure the health and well-being of marine life and the millions of people who rely on the oceans for their livelihoods. In order to ensure sustainable fishing practices, it is important to have a system in place for automatic catch documentation. This thesis presents our research on the design and development of Dutkat, a privacy-preserving, edge-based system for catch documentation and detection of illegal activities in the fishing industry. Utilising machine learning techniques, Dutkat can analyse large amounts of data and identify patterns that may indicate illegal activities such as overfishing or illegal discard of catch. Additionally, the system can assist in catch documentation by automating the process of identifying and counting fish species, thus reducing potential human error and increasing efficiency. Specifically, our research has consisted of the development of various components of the Dutkat system, evaluation through experimentation, exploration of existing data, and organization of machine learning competitions. We have also implemented it from a compliance-by-design perspective to ensure that the system is in compliance with data protection laws and regulations such as GDPR. Our goal with Dutkat is to promote sustainable fishing practices, which aligns with the Sustainable Development Goal 14, while simultaneously protecting the privacy and rights of fishing crews
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