Datenschutz und präventive Korruptionsbekämpfung - kein Zielkonflikt. - Philipp Zikesch; Bernd Reimer (Datenschutz und Datensicherheit, 2010)

Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. - Marco Schreyer; Timur Sattarov; Damian Borth; Andreas Dengel 001; Bernd Reimer (CoRR, 2017)

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. - Marco Schreyer; Timur Sattarov; Christian Schulze 001; Bernd Reimer; Damian Borth (CoRR, 2019)

Adversarial Learning of Deepfakes in Accounting. - Marco Schreyer; Timur Sattarov; Bernd Reimer; Damian Borth (CoRR, 2019)

Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. - Marco Schreyer; Timur Sattarov; Anita Gierbl; Bernd Reimer; Damian Borth (ICAIF, 2020)

Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. - Marco Schreyer; Timur Sattarov; Anita Gierbl; Bernd Reimer; Damian Borth (CoRR, 2020)