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  1. Embed this notice
    Yasowo :agender_flag:🏳️‍⚧️ (yassie_j@0w0.is)'s status on Sunday, 20-Aug-2023 05:12:07 JST Yasowo :agender_flag:🏳️‍⚧️ Yasowo :agender_flag:🏳️‍⚧️
    Great news! Humans are now slower and perform worse at solving Captchas than machine-learning bots!

    Article here:
    https://arxiv.org/abs/2307.12108
    In conversation Sunday, 20-Aug-2023 05:12:07 JST from 0w0.is permalink

    Attachments


    1. https://media.0w0.is/media/a6ee49c2977e236908425be59b51cb56b0f247e2fb75d93c999d3c5f293bc588.png
    2. Domain not in remote thumbnail source whitelist: static.arxiv.org
      An Empirical Study & Evaluation of Modern CAPTCHAs
      For nearly two decades, CAPTCHAs have been widely used as a means of protection against bots. Throughout the years, as their use grew, techniques to defeat or bypass CAPTCHAs have continued to improve. Meanwhile, CAPTCHAs have also evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots (machines) and humans. Given this long-standing and still-ongoing arms race, it is critical to investigate how long it takes legitimate users to solve modern CAPTCHAs, and how they are perceived by those users. In this work, we explore CAPTCHAs in the wild by evaluating users' solving performance and perceptions of unmodified currently-deployed CAPTCHAs. We obtain this data through manual inspection of popular websites and user studies in which 1,400 participants collectively solved 14,000 CAPTCHAs. Results show significant differences between the most popular types of CAPTCHAs: surprisingly, solving time and user perception are not always correlated. We performed a comparative study to investigate the effect of experimental context -- specifically the difference between solving CAPTCHAs directly versus solving them as part of a more natural task, such as account creation. Whilst there were several potential confounding factors, our results show that experimental context could have an impact on this task, and must be taken into account in future CAPTCHA studies. Finally, we investigate CAPTCHA-induced user task abandonment by analyzing participants who start and do not complete the task.
    • narcolepsy and alcoholism :flag: likes this.
    • Embed this notice
      Jeff Noxon (jeff@noxon.cc)'s status on Sunday, 20-Aug-2023 05:59:42 JST Jeff Noxon Jeff Noxon
      in reply to

      @yassie_j

      In conversation Sunday, 20-Aug-2023 05:59:42 JST permalink

      Attachments


      1. https://f002.backblazeb2.com/file/social-noxon-cc/media_attachments/files/110/918/220/027/447/069/original/be2d1d77dd2f6467.jpeg
      Haelwenn /элвэн/ :triskell: likes this.
    • Embed this notice
      Haelwenn /элвэн/ :triskell: (lanodan@queer.hacktivis.me)'s status on Sunday, 20-Aug-2023 05:59:44 JST Haelwenn /элвэн/ :triskell: Haelwenn /элвэн/ :triskell:
      in reply to
      • Jeff Noxon
      @jeff @yassie_j So driverless cars aren't robots?
      In conversation Sunday, 20-Aug-2023 05:59:44 JST permalink
    • Embed this notice
      Rich Felker (dalias@hachyderm.io)'s status on Sunday, 20-Aug-2023 22:22:46 JST Rich Felker Rich Felker
      in reply to

      @yassie_j Need a class action suit to assign 90% of the proceeds to captcha entry laborers. 😈

      In conversation Sunday, 20-Aug-2023 22:22:46 JST permalink
      Haelwenn /элвэн/ :triskell: likes this.
    • Embed this notice
      Rich Felker (dalias@hachyderm.io)'s status on Sunday, 20-Aug-2023 22:22:47 JST Rich Felker Rich Felker
      in reply to

      @yassie_j Given what particular free labor they used as 90% of their training corpora this is not surprising at all..

      In conversation Sunday, 20-Aug-2023 22:22:47 JST permalink
    • Embed this notice
      Roy Tam (roytam1@miniwa.moe)'s status on Monday, 21-Aug-2023 01:00:30 JST Roy Tam Roy Tam
      in reply to
      @yassie_j wanna know how fast can a bot to solve 4chan captcha.
      In conversation Monday, 21-Aug-2023 01:00:30 JST permalink

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