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Adversarial Learning of Deepfakes in Accounting

Adversarial Learning of Deepfakes in Accounting

9 October 2019
Marco Schreyer
Timur Sattarov
Bernd Reimer
Damian Borth
    AAML
ArXivPDFHTML

Papers citing "Adversarial Learning of Deepfakes in Accounting"

6 / 6 papers shown
Title
Federated Continual Learning to Detect Accounting Anomalies in Financial
  Auditing
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
Marco Schreyer
Hamed Hemati
Damian Borth
M. Vasarhelyi
FedML
45
3
0
26 Oct 2022
Federated and Privacy-Preserving Learning of Accounting Data in
  Financial Statement Audits
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
36
15
0
26 Aug 2022
The Threat of Offensive AI to Organizations
The Threat of Offensive AI to Organizations
Yisroel Mirsky
Ambra Demontis
J. Kotak
Ram Shankar
Deng Gelei
Liu Yang
Xinming Zhang
Wenke Lee
Yuval Elovici
Battista Biggio
38
81
0
30 Jun 2021
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Raphaël Dang-Nhu
Gagandeep Singh
Pavol Bielik
Martin Vechev
AI4TS
AAML
39
20
0
08 Mar 2020
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
33
274
0
15 Jul 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
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