Skip to main content

Adobe develops tool to identify Photoshopped images of faces

Adobe

With deepfake videos making headlines recently and campaigns against the over-Photoshopping of models picking up steam in the last few years, people are more aware than ever of how images can be digitally manipulated. Now the company that created Photoshop, Adobe, wants to give tools to users to let them spot faked images themselves.

“While we are proud of the impact that Photoshop and Adobe’s other creative tools have made on the world, we also recognize the ethical implications of our technology,” Adobe wrote in a blog post. That’s why it has developed a method for identifying edits made to an image using tools like Photoshop’s Face Aware Liquify feature. This particular feature was chosen because it is frequently used to change facial expressions, making it a useful test case for identifying image manipulation.

A team of researchers used deep learning to train A.I. to recognize images of faces that had been altered. It was trained by showing pairs of images, one original and one altered, so the system could learn the telltale signs of manipulation. By the end of the training, the tool was able to identify manipulated images up to 99% of the time, as compared to the 53% identification rate of humans.

It was even possible for the tool to revert images which had been altered back to how they had looked before. “It might sound impossible because there are so many variations of facial geometry possible,” Professor Alexei A. Efros of UC Berkeley said in the statement. “But, in this case, because deep learning can look at a combination of low-level image data, such as warping artifacts, as well as higher level cues such as layout, it seems to work.”

The tool isn’t ready for the mainstream yet, however. The researchers say they will need more time before they can offer customers a direct way to identify faked images for themselves. “The idea of a magic universal ‘undo’ button to revert image edits is still far from reality,” Adobe researcher Richard Zhang said. “But we live in a world where it’s becoming harder to trust the digital information we consume, and I look forward to further exploring this area of research.”

Georgina Torbet
Georgina is the Digital Trends space writer, covering human space exploration, planetary science, and cosmology. She…
Deep learning A.I. can imitate the distortion effects of iconic guitar gods
guitar_amp_in_anechoic_chamber_26-1-2020_photo_mikko_raskinen_006 1

Music making is increasingly digitized here in 2020, but some analog audio effects are still very difficult to reproduce in this way. One of those effects is the kind of screeching guitar distortion favored by rock gods everywhere. Up to now, these effects, which involve guitar amplifiers, have been next to impossible to re-create digitally.

That’s now changed thanks to the work of researchers in the department of signal processing and acoustics at Finland’s Aalto University. Using deep learning artificial intelligence (A.I.), they have created a neural network for guitar distortion modeling that, for the first time, can fool blind-test listeners into thinking it’s the genuine article. Think of it like a Turing Test, cranked all the way up to a Spınal Tap-style 11.

Read more
Revisiting the rise of A.I.: How far has artificial intelligence come since 2010?
christie's auction house obvious art ai

2010 doesn’t seem all that long ago. Facebook was already a giant, time-consuming leviathan; smartphones and the iPad were a daily part of people’s lives; The Walking Dead was a big hit on televisions across America; and the most talked-about popular musical artists were the likes of Taylor Swift and Justin Bieber. So pretty much like life as we enter 2020, then? Perhaps in some ways.

One place that things most definitely have moved on in leaps and bounds, however, is on the artificial intelligence front. Over the past decade, A.I. has made some huge advances, both technically and in the public consciousness, that mark this out as one of the most important ten year stretches in the field’s history. What have been the biggest advances? Funny you should ask; I’ve just written a list on exactly that topic.

Read more
Why deepfakes will soon be as commonplace as Photoshop
why deepfakes will soon be as commonplace photoshop trump elon c

Did you know you can make a deepfake video from the comfort of your own home, or on your phone? Download one of the plethora of face-swap or deepfake apps casually available from your local app store and you too can influence an election.

Okay, not really, and we definitely don’t endorse that. But in the hype and concern around deepfake technology, and its very real misuse, the simple truth is that this technology isn’t going away. In fact, it’s going to become as commonplace as Photoshop, especially if the app developers working on deepfake tech have anything to say about it: We could soon see hyper-targeted ads with our own faces on them.

Read more