Thank you. The data in that table (for reCAPTCHA, citation 63) is from another paper from 2016 which is focused on solving the actual user-presented problems. It doesn't (directly at least) say they achieved a reliable automation of captcha acceptance, though.

https://ieeexplore.ieee.org/document/7467367

From the abstract:

> Through extensive experimentation, we identify flaws that allow adversaries to effortlessly influence the risk analysis, bypass restrictions, and deploy large-scale attacks. Subsequently, we design a novel low-cost attack that leverages deep learning technologies for the semantic annotation of images.

I'd suspect reCaptcha has been updated in the 7 years since to address shortcomings.

Another entry in the table (citation 45) is from 2020 and talks about using an object detection AI to solve the image tests. This again looks like it's focused on the task, not the primary mechanism (behavioral analytics).