activity
20182022
most citedLbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics

25 citations · 62 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CL20221 cited

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…

cs.CR20224 cited

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…

cs.CL202225 cited

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…

cs.CL202220 cited

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…

cs.CR20229 cited

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…

cs.CR20211 cited

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…