Deepfake Generation and Detection

Deep Fake Generation and Detection Poster Project Poster

Through an evaluation of deep-learning algorithms, two sets of Python Jupyter Notebooks to seamlessly perform the otherwise difficult task of Deepfake Generation a to easily generate such images, as well as allow the general public to more effectively distinguish between synthetic images from real ones. Additionally, 2 Datasets of 300 Images will be obtained from both the developed Generation and Detection Models to aid further training and testing of such DeepFakes models.

Promotional Video

Technical Demo



Dr. Peter Leong


Lim Zhi Yang, Ashley Chung Beng Hunn, Hariz Darwisy Bin Adan, Lim Jun Wei, Gavin Tan Jun An

SP Sustainability Matters