BadNets: How a Malicious AI Model Lets a Small Sticker Fool a Stop Sign
Imagine you buy an AI model or pay someone to train it, and it looks perfect on tests, but secretly it can be made to fail when shown a tiny mark.
Researchers call these hidden traps a BadNet.
The model works for normal pictures, yet a simple sticker or mark makes it change its mind.
In one example a stop sign with a small sticker was read as a speed limit sign — scary for self-driving cars.
These hidden faults are like a backdoor in software, only harder to spot because AI is messy and weird.
The bad thing is the trick can survive even after the model gets re-trained for another job, causing wrong answers and lost trust.
This shows we need ways to check and watch AI before using it in the world.
People should demand tools to verify models and keep systems safe, because what looks fine today might mislead a car tomorrow.
Read article comprehensive review in Paperium.net:
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
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