Toronto researcher develops ‘privacy filter’ that jams facial recognition software

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A University of Toronto researcher has figured out a way that users can opt out of making selfies public and he’s working on an app that will help them do just that.

The researcher is Joey Bose, a masters student who has developed the algorithm which allows you to control who can see your face.

Bose, who studies engineering and computer engineering, also works in artificial intelligence, and says facial recognition software is hot right now.

It’s how Facebook recognizes who’s in your photo, it’s how the funny filters on Snapchat digitally adhere to your face and catch other faces in the periphery.

What he has accomplished in the labs at U of T is a way to distort your image just enough so that it’s not visible to the naked eye, but enough to stymie the recognition software.

Bose expects this algorithm to be installed on people’s phones as an app if all goes well.

If you take a photo of yourself and upload it through the app, a filter will be applied that slightly distorts the pixels just enough to fool the site you upload it on, protecting you from targeted advertising and identity theft.

The app is expected to be ready for the market in about a year.

So far, they have been successful at cracking one form of software used by some companies, but they haven’t yet been able to fool the software used by social media sites like Instagram or Facebook.

Currently companies are known to use multiple facial recognition algorithms to extract all they can from your selfie.

With privacy concerns being a huge issue these days, this app could be a winner. – CINEWS

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