In the first part of this article, we introduced a secure, traceable and distributed ML approach for a deepfake detection benchmark using the Substra framework. In this second part, we will present the technical details of the Substra framework and see the whole process of implementing an example on Substra, in order to allow you to submit your own algorithms or add your dataset to the Substra network.

In this article, we present several facial manipulation techniques known as “deepfakes” and show why it’s important to improve the research on deepfake detection. We present the state of art of the deepfake detection datasets and algorithms, and introduce a secure, traceable and distributed machine learning approach for a deepfake detection benchmark using the Substra framework.