Data Corpora for Digital Forensics Education and Research. - York Yannikos; Lukas Graner; Martin Steinebach; Christian Winter 001 (IFIP Int. Conf. Digital Forensics, 2014)

On the Usefulness of Compression Models for Authorship Verification. - Oren Halvani; Christian Winter 001; Lukas Graner (ARES, 2017)

Author Clustering based on Compression-based Dissimilarity Scores. - Oren Halvani; Lukas Graner (CLEF (Working Notes), 2017)

Towards Imperceptible Natural Language Watermarking for German. - Oren Halvani; Martin Steinebach; Lukas Graner (IH&MMSec, 2017)

Authorship Verification based on Compression-Models. - Oren Halvani; Christian Winter 001; Lukas Graner (CoRR, 2017)

Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018. - Oren Halvani; Lukas Graner (CLEF (Working Notes), 2018)

Rethinking the Evaluation Methodology of Authorship Verification Methods. - Oren Halvani; Lukas Graner (CLEF, 2018)

Authorship Verification in the Absence of Explicit Features and Thresholds. - Oren Halvani; Lukas Graner; Inna Vogel (ECIR, 2018)

Assessing the Applicability of Authorship Verification Methods. - Oren Halvani; Christian Winter 001; Lukas Graner (ARES, 2019)

Unary and Binary Classification Approaches and their Implications for Authorship Verification. - Oren Halvani; Christian Winter 001; Lukas Graner (CoRR, 2019)

TAVeer: an interpretable topic-agnostic authorship verification method. - Oren Halvani; Lukas Graner; Roey Regev (ARES, 2020)

Cross-Domain Authorship Verification Based on Topic Agnostic Features. - Oren Halvani; Lukas Graner; Roey Regev (CLEF (Working Notes), 2020)

Risiken für die Privatheit aufgrund von Maschinellem Lernen. - Verena Battis; Lukas Graner (GI-Jahrestagung, 2020)

An Improved Topic Masking Technique for Authorship Analysis. - Oren Halvani; Lukas Graner; Roey Regev; Philipp Marquardt (CoRR, 2020)

A Step Towards Interpretable Authorship Verification. - Oren Halvani; Lukas Graner; Roey Regev (CoRR, 2020)

POSNoise: An Effective Countermeasure Against Topic Biases in Authorship Analysis. - Oren Halvani; Lukas Graner (ARES, 2021)

LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts. - Philipp Schader; Raphael Beckmann; Lukas Graner; Jürgen Bernard (VMV, 2021)

An Unorthodox Approach for Style Change Detection. - Lukas Graner; Paul Moritz Ranly (CLEF (Working Notes), 2022)

Face Pasting Attack. - Niklas Bunzel; Lukas Graner (CoRR, 2022)

A Concise Analysis of Pasting Attacks and their Impact on Image Classification. - Niklas Bunzel; Lukas Graner (DSN-W, 2023)

Unveiling the Darkness: Analysing Organised Crime on the Wall Street Market Darknet Marketplace using PGP Public Keys. - Shiying Fan; Paul Moritz Ranly; Lukas Graner; Inna Vogel; Martin Steinebach (ARES, 2024)

Deepfakes: A New Kind of Adversarial Attacks Against Face Recognition Systems? - Raphael Antonius Frick; Lukas Graner (TrustCom, 2024)

Authorship Verification based on the Likelihood Ratio of Grammar Models. - Andrea Nini; Oren Halvani; Lukas Graner; Valerio Gherardi; Shunichi Ishihara (CoRR, 2024)

Towards Creating a Darknet Image Database. - York Yannikos; Marc Leon Agel; Julian Heeger; Lukas Graner; Martin Steinebach (ARES (Workshops 3), 2025)