kinda ironic you can clearly see signs of Claude, as it shows misaligning table walls in the readme doc
Reverse engineering Gemini's SynthID detection
11–20 of 66 posts
Re: Reverse engineering Gemini's SynthID detection
#12Re: Reverse engineering Gemini's SynthID detection
#13Ok i get that eventually someone was gonna do this but why would we want to purposely remove one of the only ways of detecting if an image is ai generated or not...?
Re: Reverse engineering Gemini's SynthID detection
#14Ok i get that eventually someone was gonna do this but why would we want to purposely remove one of the only ways of detecting if an image is ai generated or not...?
Re: Reverse engineering Gemini's SynthID detection
#15Ok i get that eventually someone was gonna do this but why would we want to purposely remove one of the only ways of detecting if an image is ai generated or not...?
[0]: if it does what it claims to do. I didn't verify. Given how much AI writing in the README my hunch is that this doesn't work better than simple denoising.
Re: Reverse engineering Gemini's SynthID detection
#16> We're actively collecting pure black and pure white images generated by Nano Banana Pro to improve multi-resolution watermark extraction. Oh hey, neat. I mentioned this specific method of extracting SynthID a while back.[1] Glad to see someone take it up. [1]: https://news.ycombinator.com/item?id=47169146#47169767
FWIW, I had Nano Banana create pure white/black images in February, and there was no recognizable watermark in them (all pixels really were #ffffff / #000000 IIRC). Meta: your comment was marked [dead], like a few other constructive comments I saw in recent days. Not sure why.
I appreciate you pointing it out, but this account is banned. Thank you for vouching though!
Re: Reverse engineering Gemini's SynthID detection
#17It says not to use these tools to misrepresent AI-generated content as human-created. But the project is a watermark removal tool with a pip-installable CLI and strength settings named "aggressive" and "maximum." Calling this research while shipping turnkey watermark stripping is trying to have it both ways in a way that's uncomfortable to read. The README itself reads like unedited AI output with several layers of h…
Agreed. This isn't punk this just helps the bad guys. Society needs to know what content is AI generated and what is not.
Re: Reverse engineering Gemini's SynthID detection
#18It says not to use these tools to misrepresent AI-generated content as human-created. But the project is a watermark removal tool with a pip-installable CLI and strength settings named "aggressive" and "maximum." Calling this research while shipping turnkey watermark stripping is trying to have it both ways in a way that's uncomfortable to read. The README itself reads like unedited AI output with several layers of h…
Agreed. This isn't punk this just helps the bad guys. Society needs to know what content is AI generated and what is not.
Re: Reverse engineering Gemini's SynthID detection
#19Re: Reverse engineering Gemini's SynthID detection
#20I don't understand all the handwringing. If it's this easy to remove SynthID from an AI-generated image then it wasn't a good solution in the first place.
This project proves what red teaming was in place wasn't good enough.