62 citations · 274 across the 31 of their papers we have counts for
31 papers
SoK: Assessing the State of Applied Federated Machine Learning
Tobias Müller, Maximilian Stäbler, Hugo Gascón +2
Machine Learning (ML) has shown significant potential in various applications; however, its adoption in privacy-critical domains has been limited due to concerns about data privacy…
A Study of MEV Extraction Techniques on a First-Come-First-Served Blockchain
Burak Öz, Filip Rezabek, Jonas Gebele +2
Maximal Extractable Value (MEV) has become a significant incentive on blockchain networks, referring to the value captured through the manipulation of transaction execution order a…
Time Moves Faster When There is Nothing You Anticipate: The Role of Time in MEV Rewards
Burak Öz, Benjamin Kraner, Nicolò Vallarano +3
This study explores the intricacies of waiting games, a novel dynamic that emerged with Ethereum's transition to a Proof-of-Stake (PoS)-based block proposer selection protocol. Wit…
Exploring the Landscape of Natural Language Processing Research
Tim Schopf, Karim Arabi, Florian Matthes
As an efficient approach to understand, generate, and process natural language texts, research in natural language processing (NLP) has exhibited a rapid spread and wide adoption i…
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge
Tim Schopf, Emanuel Gerber, Malte Ostendorff +1
Generic sentence embeddings provide a coarse-grained approximation of semantic textual similarity but ignore specific aspects that make texts similar. Conversely, aspect-based sent…
Efficient Domain Adaptation of Sentence Embeddings Using Adapters
Tim Schopf, Dennis N. Schneider, Florian Matthes
Sentence embeddings enable us to capture the semantic similarity of short texts. Most sentence embedding models are trained for general semantic textual similarity tasks. Therefore…
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
Modern privacy regulations provide a strict mandate for data processing entities to implement appropriate technical measures to demonstrate compliance. In practice, determining wha…
Scientific Fact-Checking: A Survey of Resources and Approaches
Juraj Vladika, Florian Matthes
The task of fact-checking deals with assessing the veracity of factual claims based on credible evidence and background knowledge. In particular, scientific fact-checking is the va…
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports
Juraj Vladika, Florian Matthes
With the increasing number of clinical trial reports generated every day, it is becoming hard to keep up with novel discoveries that inform evidence-based healthcare recommendation…
Unlocking the Potential of Collaborative AI -- On the Socio-technical Challenges of Federated Machine Learning
Tobias Müller, Milena Zahn, Florian Matthes
The disruptive potential of AI systems roots in the emergence of big data. Yet, a significant portion is scattered and locked in data silos, leaving its potential untapped. Federat…
Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living
Phillip Schneider, Nils Rehtanz, Kristiina Jokinen +1
As the healthcare sector is facing major challenges, such as aging populations, staff shortages, and common chronic diseases, delivering high-quality care to individuals has become…
Investigating Conversational Search Behavior For Domain Exploration
Phillip Schneider, Anum Afzal, Juraj Vladika +2
Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search age…
Semantic Similarity-Based Clustering of Findings From Security Testing Tools
Phillip Schneider, Markus Voggenreiter, Abdullah Gulraiz +1
Over the last years, software development in domains with high security demands transitioned from traditional methodologies to uniting modern approaches from software development a…
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry
Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes +1
Since its introduction in 2006, differential privacy has emerged as a predominant statistical tool for quantifying data privacy in academic works. Yet despite the plethora of resea…
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches
Tim Schopf, Daniel Braun, Florian Matthes
Text classification of unseen classes is a challenging Natural Language Processing task and is mainly attempted using two different types of approaches. Similarity-based approaches…
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics
Tim Schopf, Daniel Braun, Florian Matthes
In this paper, we consider the task of retrieving documents with predefined topics from an unlabeled document dataset using an unsupervised approach. The proposed unsupervised appr…
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction
Tim Schopf, Simon Klimek, Florian Matthes
Keyphrase extraction is the process of automatically selecting a small set of most relevant phrases from a given text. Supervised keyphrase extraction approaches need large amounts…
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Phillip Schneider, Tim Schopf, Juraj Vladika +3
In pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry. As a represen…
Exploring privacy-enhancing technologies in the automotive value chain
Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow +3
Privacy-enhancing technologies (PETs) are becoming increasingly crucial for addressing customer needs, security, privacy (e.g., enhancing anonymity and confidentiality), and regula…
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study
Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher +3
Modern privacy regulations, such as the General Data Protection Regulation (GDPR), address privacy in software systems in a technologically agnostic way by mentioning general "tech…
Differential Privacy in Natural Language Processing: The Story So Far
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
As the tide of Big Data continues to influence the landscape of Natural Language Processing (NLP), the utilization of modern NLP methods has grounded itself in this data, in order…
Exponential Randomized Response: Boosting Utility in Differentially Private Selection
Gonzalo Munilla Garrido, Florian Matthes
A differentially private selection algorithm outputs from a finite set the item that approximately maximizes a data-dependent quality function. The most widely adopted mechanisms t…
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries
Gonzalo Munilla Garrido, Joseph Near, Aitsam Muhammad +3
An increasing number of open-source libraries promise to bring differential privacy to practice, even for non-experts. This paper studies five libraries that offer differentially p…
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review
Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludağ +3
IoT data markets in public and private institutions have become increasingly relevant in recent years because of their potential to improve data availability and unlock new busines…