Fraunhofer SIT · SIT - Secure Information Technology
Student / Thesis
Master's Thesis: Explainability of Transformer Models in Authorship Verification
Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these continuously achieve new state-of-the-art results, the application of explainability methods is mostly limited to somewhat older models or architectures. This limits the applicability…
🇩🇪 Darmstadt
No deadlineSource: Fraunhofer SIT