Generative Adversarial Networks for anomaly detection on decentralised data

Author:

Katzef MarcORCID,Cullen Andrew C.ORCID,Alpcan TansuORCID,Leckie Christopher

Publisher

Elsevier BV

Subject

Control and Systems Engineering,Software

Reference44 articles.

1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. in International Conference on Machine Learning(pp. 214–223).

2. Pros and cons of GAN evaluation measures;Borji,2018

3. Deep learning for anomaly detection: A survey;Chalapathy,2019

4. Inverting the generator of a generative adversarial network (II);Creswell,2018

5. A survey on GANs for anomaly detection;Di Mattia,2019

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