Deepfake Detection Using Convolutional Neural Networks: Working Towards Understanding the Effects of Design Choices

When building a convolutional neural network, many design choices have to be made. In the case of Deepfake detection, there is no readily implementable recipe that guides these choices. This research aims to work towards understanding the effects of design choices in the case of Deepfake detection, using the Python library Keras and publicly...

Deepfake Image detection using Anchored Pairwise Learning Approach

Deep learning has enabled technologies that have been perceived complex or impossible a few years ago. Deep learning models can be used to solve several complex problem statements thereby making it a prominent field of research. With the advancements of Deep learning models, their application in domains have diversified. One prominent use-case...