This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Current privacy research on large language models (LLMs) primarily focuses on the issue of
extracting memorized training data. At the same time, models' inference capabilities have …

The paper gives a brief overview of the three shared tasks organized at the PAN 2021 lab on
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …

We report on the first large-scale evaluation of author obfuscation approaches built to attack
authorship verification approaches: the impact of 3 obfuscators on the performance of a total …

The paper gives a brief overview of three shared tasks which have been organized at the
PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference …

The goal of the PAN lab is to advance the state of the art in text forensics and stylometry
through an objective evaluation of new and established methods on new benchmark …

The paper gives a brief overview of three shared tasks which have been organized at the
PAN 2023 lab on digital text forensics and stylometry hosted at the CLEF 2023 conference …

Authorship attribution attempts to identify the authors behind texts and has important
applications mainly in cyber-security, digital humanities and social media analytics. An …

We briefly report on the four shared tasks organized as part of the PAN 2019 evaluation lab
on digital text forensics and authorship analysis. Each task is introduced, motivated, and the …

The goal of style change detection is to identify text positions within a multi-author document
at which the author switches. Detecting these positions is a crucial part of processing multi …