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20172025
most citedDetection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks

80 citations · 125 across the 13 of their papers we have counts for

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cs.LG2025

Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation

Timur Sattarov, Marco Schreyer, Damian Borth

We introduce DP-FinDiff, a differentially private diffusion framework for synthesizing mixed-type tabular data. DP-FinDiff employs embedding-based representations for categorical f…

cs.LG2025★ 6 cited

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data

Timur Sattarov, Marco Schreyer, Damian Borth

Anomaly detection in tabular data remains challenging due to complex feature interactions and the scarcity of anomalous examples. Denoising autoencoders rely on fixed-magnitude noi…