Silent Weakness: How a Few Poisoned Photos Can Trick AI Face Unlock
Imagine someone slipping a tiny change into a few images, then suddenly your phone or payment app can be opened by the wrong person.
Researchers show attackers can plant a backdoor in an AI system simply by adding a handful of altered pictures.
The trick uses poisoning of training data, but the attacker often has no model details and still succeed.
It needs only about 50 pictures in some cases, and the system will later accept the attacker as a chosen user.
The mark used to trigger the hack can be almost invisible, so humans often miss it — this stealthy approach is what makes it scary.
It works on things like face unlock systems, and can even be made into a physical object, like a pattern on glasses.
Simple, small changes, big consequences.
Security teams need to look for these weak spots now, because once a backdoor is in, cleaning it out is hard and slow, and users might never know they're at risk.
Read article comprehensive review in Paperium.net:
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
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