ExGAN-Adversarial Generation of Extreme Samples

In plain words

ExGAN-Adversarial Generation of Extreme Samples is a tool for generating extreme or edge-case data samples using adversarial machine learning techniques. It is designed for researchers and developers who need to test how their models perform under unusual or boundary conditions. The tool uses generative adversarial networks to create synthetic data points that push the limits of standard datasets, helping identify potential weaknesses in machine learning systems before deployment.

written from the facts on this page · September 2026

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  Adversarial Generation of Extreme Samples2020 · arxiv.org · ▲35

  Abstract page for arXiv paper 2009.08454: ExGAN: Adversarial Generation of Extreme Samples

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• GP
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