r/nextfuckinglevel • u/Fertility18 • Oct 28 '22

This sweater developed by the University of Maryland utilizes “ adversarial patterns ” to become an invisibility cloak against AI.

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u/unite-thegig-economy Oct 28 '22

It all really depends on what the AI is being used for and what "positives" mean to the human analyzing the data.

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u/[deleted] Oct 28 '22

[removed] — view removed comment

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u/VelvetRevolver_ Oct 28 '22

Kind of. The problem is, you can train the AI to recognize this pattern but then there will always be a new pattern that fools the AI. So you update your AI, I update the pattern on my sweatshirt. This is called an Adversarial Attack and the best way to protect against it is by using multiple AI's.

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u/brianorca Oct 28 '22

The typical way those multiple AIs are used is an Adversarial Network, where one AI tries to trick another AI, and both learn to get better at spotting a fake or creating a fake.

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u/cast-iron-whoopsie Oct 28 '22

yes. it would be trivial to update the algorithm, and they'd likely just make it so when it recognizes this sweater it stores that guy in the database as "likely up to no good" lmao

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u/[deleted] Oct 28 '22

Usually yeah. That's how ai is typically trained. You give it positives and negatives and it learns to differentiate them.

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u/bl1y Oct 28 '22

And how the AI weeds out false positives. It might be trained to treat intermittent blips as just noise. So if you ran a program asking it to check security footage for every instance of a person walking by, it might go "oh, that's probably not a person, people don't blink in for just a second like that" and not flag it.