This is a bonus episode of the podcast in a two part series covering a Nisos project with New York University (NYU) on the technical considerations for creating deepfakes as well as processes and procedures to detect them.
(00:28) Introductions
(01:06) Overview of Nisos Deepfake Project
(02:21) Question 1 - What kind of research did you have to do to start making deepfake videos?
(03:51) Question 2 - Are there a lot of open source libraries intended to make building deepfakes easier?
(05:20) Question 3 - What was the most difficult part of the process for building a deepfake video?
(06:15) Question 4 - How difficult is it to make deepfake audio?
(06:56) Question 5 - How can we detect deepfakes?
