Rudraksh Kapil

Investigating Privacy, Fairness, and Equity of GAN-generated Data

Skills: Python, PyTorch, TensorFlow, scikit-learn, Encoders, Jupyter, NumPy, pandas, Deep GAN models, Differential privacy.

Description: For the Privacy and Fairness in ML grad course project, my team and I studied the underlying relationships between these seemingly distinct metrics in the context of data synthesised using a generative adversarial network (GAN). Google Colab notebooks containing our experimental analysis is available on GitHub, along with the final presentation and report.

Overview of Results