Vulnerability Found in AI Image Recognition
A new study reveals a vulnerability in AI image recognition systems due to their exclusion of the alpha channel, which controls image transparency. Researchers developed “AlphaDog,” an attack method that manipulates transparency in images, allowing hackers to distort visuals like road signs or medical scans in ways undetectable by AI. Tested across 100 AI models, AlphaDog exploits this transparency flaw, posing significant risks to road safety and healthcare diagnostics. By highlighting these blind spots in image transparency processing, the study urges updates to AI models to secure critical sectors. ….[READ]
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