Countering facial recognition

Source: Sand Lab

If you’re reading this, you are probably using social media as well. One of the biggest worry about social media is the loss of privacy. Every photo that you post of yourself and your loved ones are processed by artificial intelligence (AI) tools that enable facial recognition. In case you’re never wondered why, this is what lets Facebook suggest names to tag when you upload a photo.

Facial recognition works by establishing invisible relationships among the pixels that make up a computer-generated picture of a face. It then compares it with other photos available online to look for matching ones.

This makes tagging photos in Facebook or looking for photos in Google Photos convenient and easy. However, it may also be used by others — organisations and individuals — to do likewise, venturing into the domain of personal privacy.

The good news is that researchers at the University of Chicago have developed an algorithm that counters that. Named “Fawkes“, it alters your photos slightly to deceive the facial recognition software.

Fawkes uses a process called image cloaking to make tiny, pixel-level changes that make it difficult for facial recognition software to connect your photo to other images.

Altered images look the same visually but the subtle change fools facial recognition software, protecting your privacy in the process.

Caveat. I’ve not tried it myself but if you’re keen to check it out, download the free algorithm (for Mac and Windows) at http://sandlab.cs.uchicago.edu/fawkes/#code.

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