Earlier quoted context omitted.
Fair shake, this time I cropped the image too so that it wasn't looking at any of the boundary to identify it either. Here's the original image: https://imgur.com/a/Td4rhoy And the cloaked: https://imgur.com/a/cPCiCZo These were both saved as JPG with compression level 8/12. I searched for the cloaked crop (96.jpg) first this time: https://imgur.com/a/FSehQWO And the original crop (10.jpg) next: https://imgur.com/a/y…
The goal, afaik, is to stop facial detection software from learning to recognize you and put a face to a name, not to frustrate visual similarity searches. The images are supposed to be visually similar -- so similar that they're indistinguishable to a human viewer. Surveillance software that purports to accurately identify a person across multiple images is not just looking for the same content with some visually in…
Fawkes: Image “Cloaking” for Personal Privacy
111–120 of 122 posts
Re: Fawkes: Image “Cloaking” for Personal Privacy
#112Earlier quoted context omitted.
Why cut and mirror? Can't you just mirror? Wouldn't this be the same as just looking at someone's face in the mirror?
No, he's not saying to flip, he's saying that the left and right halves of your face aren't symmetrical, and it's very uncanny valley if you view a portrait of a person with symmetrical left and right halves. https://www.google.com/search?q=symmetrical+left+and+right+f...
Re: Fawkes: Image “Cloaking” for Personal Privacy
#113Earlier quoted context omitted.
There is a problem there that your pics are already out and you can no longer update them....
If you use a new cloaking image for each picture you upload to social then they will all be embedded in a different location for a given feature extractor and an adversary wouldn’t be able to reverse search for linked pictures—that’s at least my understanding of how the method would need to be used. But if you keep using the same cloaking image, your adversary could definitely learn that process and effectively undo…
Re: Fawkes: Image “Cloaking” for Personal Privacy
#114Re: Fawkes: Image “Cloaking” for Personal Privacy
#115Earlier quoted context omitted.
From the linked article: Q: Can't you just apply some filter, or compression, or blurring algorithm, or add some noise to the image to destroy image cloaks? A: As counterintuitive as this may be, the high level answer is no simple tools work to destroy the perturbation that form image cloaks. To make sense of this, it helps to first understand that Fawkes does not use high-intensity pixels, or rely on bright patterns…
It was pretty frustrating that they did not readily offer any example images for inspection, so against my better judgement I downloaded their binaries to run some experiements. First, a source image at an approximate resolution that you might find on a social networking site: https://imgur.com/a/9szcC1m Text output of the tool, which ran for about 3 minutes: https://imgur.com/a/fZtfrmm The resulting cloaked image: h…
"similar image" search generally uses "perceptual hashing" which is not related to facial recognition, and not really a privacy risk.
You're not testing against what this tool was designed to defeat :-/
Re: Fawkes: Image “Cloaking” for Personal Privacy
#116Color me extremely skeptical. A low-pass filter will make short work of any "tiny, pixel-level" changes designed to thwart ML. After all, one of the most tell-tale identifiers (space between eyes/nose/mouth) is still plainly observable and unaltered in the "cloaked" image. If a human's neural network can correctly correlate the before/after examples, so can a computer's. They might have found an issue with some moder…
I guess that face rec software will quickly adapt though. That said, we have invisible watermarks that are very resistant to compression or other filters.
Re: Fawkes: Image “Cloaking” for Personal Privacy
#117Earlier quoted context omitted.
From the linked article: Q: Can't you just apply some filter, or compression, or blurring algorithm, or add some noise to the image to destroy image cloaks? A: As counterintuitive as this may be, the high level answer is no simple tools work to destroy the perturbation that form image cloaks. To make sense of this, it helps to first understand that Fawkes does not use high-intensity pixels, or rely on bright patterns…
It was pretty frustrating that they did not readily offer any example images for inspection, so against my better judgement I downloaded their binaries to run some experiements. First, a source image at an approximate resolution that you might find on a social networking site: https://imgur.com/a/9szcC1m Text output of the tool, which ran for about 3 minutes: https://imgur.com/a/fZtfrmm The resulting cloaked image: h…
I echo the sentiment of other posters regarding reverse-image search. The original image should not be available to match against. That would be operator failure.
Re: Fawkes: Image “Cloaking” for Personal Privacy
#118Earlier quoted context omitted.
Why cut and mirror? Can't you just mirror? Wouldn't this be the same as just looking at someone's face in the mirror?
No, he's not saying to flip, he's saying that the left and right halves of your face aren't symmetrical, and it's very uncanny valley if you view a portrait of a person with symmetrical left and right halves. https://www.google.com/search?q=symmetrical+left+and+right+f...
Re: Fawkes: Image “Cloaking” for Personal Privacy
#119Re: Fawkes: Image “Cloaking” for Personal Privacy
#120Github link: https://github.com/Shawn-Shan/fawkes
has anyone tried with their own image? How did it go?
One thing that I took notice of was how long the program ran on my computer. It took about 5 and a half minutes to obfuscate 4 images on an i9-9900K with the cpu was pegged at 100% the entire time. I can't imagine how long this would take on a low end laptop: especially if I needed to cloak a lot of images in bulk.
Another thing I noticed is that the discoloration that is applied to the final images can be easily mistaken for bruising. If I were to see someones post on social media and they looked like my results I'd be inclined to think that the poster is recovering from a bad fight or is a victim of abuse.
Other than those two little nit picks the tool is pretty cool! However I don't think I will be using it myself due to the second point.