AI Bots Now Beat 100% of Those Traffic-Image CAPTCHAs
Freeman writes:
Anyone who has been surfing the web for a while is probably used to clicking through a CAPTCHA grid of street images, identifying everyday objects to prove that they're a human and not an automated bot.
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ETH Zurich PhD student Andreas Plesner and his colleagues' new research, available as a pre-print paper, focuses on Google's ReCAPTCHA v2, which challenges users to identify which street images in a grid contain items like bicycles, crosswalks, mountains, stairs, or traffic lights. Google began phasing that system out years ago in favor of an "invisible" reCAPTCHA v3 that analyzes user interactions rather than offering an explicit challenge.
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To craft a bot that could beat reCAPTCHA v2, the researchers used a fine-tuned version of the open source YOLO ("You Only Look Once") object-recognition model, which long-time readers may remember has also been used in video game cheat bots.
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