There is recently a lot of talking about dangers of deep fakes and generally tampering of electronic media (e.g. https://www.wired.com/story/facebook...ect-deepfakes/ ) - bringing a question here if something could be done from (lossy) data compression perspective to improve this situation, help tampering detection.
Here is a paper claiming "the proposed approach increased image manipulation detection accuracy from 45% to over 90%":
http://openaccess.thecvf.com/content...2019_paper.pdf
https://github.com/pkorus/neural-imaging
"Training NIPs Optimized for Manipulation Detection" (NIP - neural imaging pipeline, FAN - forensics analysis network):
Maybe this kind of optimization should be considered as (an optional) feature for new image (/video) formats like JPEG XL?