In this blog, we discuss how TimeGAN can be optimized in terms of training time and cost.

In this blog, Generative Adversarial Networks in combination with Differential Privacy is proposed to share valuable time-series datasets.

In this blog post, we illustrate how differential privacy can be integrated into synthetic tabular GANs to effectively enhance privacy.