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09/04/2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
The sharing of microdata, such as fund holdings and derivative instrumen...
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10/26/2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
The International Standards on Auditing require auditors to collect reas...
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09/19/2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
Detecting accounting anomalies is a recurrent challenge in financial sta...
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08/26/2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
The ongoing 'digital transformation' fundamentally changes audit evidenc...
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12/25/2021
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
International audit standards require the direct assessment of a financi...
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09/23/2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
International audit standards require the direct assessment of a financi...
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12/13/2020
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks
Nowadays, organizations collect vast quantities of sensitive information...
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08/06/2020
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks
The audit of financial statements is designed to collect reasonable assu...
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10/09/2019
Adversarial Learning of Deepfakes in Accounting
Nowadays, organizations collect vast quantities of accounting relevant t...
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08/02/2019
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
The detection of fraud in accounting data is a long-standing challenge i...
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09/15/2017