Our biometric data is freelyavailable to anybody with an AI model and a camera.

Couldnt you just wear an N95 mask, scarf, and sunglasses to dodge Big Brother?

So far, the best way to avoid being picked up by facial recognition is to avoid cameras.

This camera shown by SK Telecom at 2024 Mobile World Conference detects people and offers descriptions of their appearance and actions for use by security or police.

This camera shown by SK Telecom at 2024 Mobile World Conference detects people and offers descriptions of their appearance and actions for use by security or police.© Photo: Joan Cros/NurPhoto via Getty Images

But that task may soon become near impossible.

Privacy experts warn that we may already be on the losing end of protecting our biometric data.

Soon, the only real defense may be federal regulation.

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I dont honestly know how people could realistically change the shape of their eyes to fool these systems.

Perhaps it would be some kind of plastic surgery.

Well, then what?

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So, honestly, why bother?

In human biometrics, there are two common modes of matching identities: 1-to-1 and 1-to-many.

This mode is frequently used in video-based surveillance controls, including law enforcement and government intelligence operations.

Photo:

Evading the 1-to-many mode in an uncontrolled surveillance setting is a bit easierone need not resort to surgical measures.

Thus the first step is to deny the algorithm those pixels by occluding the face.

Holding a hand over the face is also good for this.

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My best practical advice for evasion: know where facial recognition is being deployed and simply avoid those areas.

How long this advice remains useful though depends on how widespread the technology becomes in the coming years.

There are a few ways to proactively fail a FRS:

1.

Robot cop at New Year celebration in Thailand.

The same thing applies to FRS.

The key here is learn a specific minor modification so that such modification is able to fail FRS.

For example,CMU has one paperon designing special glasses that can fail a FRS.

An image of an AI generated walking TV holding a flower.

A common way is to apply makeup.

The answer is very much subject dependent.

Approach 2 is more personalized and works better, yet requires more effort.

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Someone will decide on a threshold value to be used for recognition.

There are lots of things that you might do.

You might put on dark sunglasses, and change your hairstyle and still look natural.

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You might make some exaggerated facial expression, but that probably wont look natural.

You might avoid looking directly at the camera, so that the new photo is off-angle.

More drastically, you might gain or lose weight.

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Or you might apply cosmetics to change your look.

None of these things can guarantee that you wont match your old photo.

If you knew all of those things, you could experiment with the most effective approach to take.

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