geraldkleber

Show HN: Recently deployed our beta version of our consumer photography app, trix.co.

High-level, Trix uses adversarial AI tech to manipulate your photos (before you upload them to Instagram, Facebook, and the like) in such a way that when Clearview.ai and others go to scrape your data, it is impossible for them to train facial recognition models off your content.

Updates:

1) Our mobile application and back-end code are now open source. See here to examine: https://github.com/trix-co/trix-app

2) We are temporarily using the Fawkes algorithm under BSD license, while we work to validate our novel approach and publish test results

3) We have updated our ToS & Privacy Policy to be more user-friendly and more consistent with our values (we used a boilerplate version previously)

WE ARE HOPING TO PROMOTE OUR PROJECT AHEAD OF THE US ELECTION IN CASE OF THE NEED FOR PROTECTION OF CITIZEN IDENTITY IN MASS PROTESTS. We know that this version of our app no longer provides novel protection vs the Fawkes binary, but we do believe that our app will allow this technology to be used 10x more easily and by 10x more people during an important time.

Links to privacy policy & ToS: https://www.trix.co/privacy https://www.trix.co/terms

You should be good to go - let me know if this still gives you trouble!

You should check out the research that was done on this. The technology works - we're simply the first to really productize it in this manner.

https://sandlab.cs.uchicago.edu/fawkes/

No technical blog post yet, but have some faqs up that could help out!

https://www.trix.co/faq

Nope - you should check out the research!

https://sandlab.cs.uchicago.edu/fawkes/

We don't think that's the case!

In this instance, we're well convinced we can.

I very much appreciate that question, and having been in this space for a few years now, it's certainly one that's relevant to the tech as whole, but less so our app.

Our technology is simply indexed to a public data-set of 30k individuals and when our deep learning model scrambles the key-points on your photos to confuse the clearviews of the world it does in a random manner. The model truly is a black box in that way.

This is a measure designed to help us prevent facial recognition companies from gaining programmatic access to our api to test against it. In addition, because we are a new startup with limited computer resources such testing could also harm our throughput capabilities for actual users. Unfortunately, there are far better sources of simple name and phone number data such as whitepages.com, or any other CNAM service, so we doubt we would be a target of an attack for this data or that this data would be sell-able even if we were bad actors. Our perspective is that requiring phone verification allows us to provide a better level of service to customers.

Hmm, lemme do some bug squashing. Will reply when it's dealt with!

Not yet - much of this research came out of U Chicago this summer and we just launched our beta. You can download at trix.co (iOS and Android).

Just deployed our beta version of our consumer photography app, trix.co.

High-level, Trix uses adversarial AI tech to manipulate your photos (before you upload them to Instagram, Facebook, and the like) in such a way that when Clearview.ai and others go to scrape your data, it is impossible for them to train facial recognition models off your content.

Excited to hear what you all think!

This is why we built Trix (trix.co).

It's a consumer-facing photo editing app that uses adversarial AI to manipulate your photos in such a way that companies like Clearview AI can't train facial recognition algorithms off your data. You can download the Android or iOS version at trix.co - we're in beta right now.

Would love to get anyone's feedback!

A good friend of mine and I are building a consumer-facing photo editing app that uses adversarial AI to manipulate your photos in such a way that companies like Clearview AI can't train facial recognition algorithms off your data. You can download the Android or iOS version at trix.co - we're in beta right now.

Would love to get anyone's feedback!