Linkedin down detector2/27/2024 ![]() The LinkedIn Scholars program enables academics to contribute directly to LinkedIn’s vision of creating economic opportunity for every member of the global workforce. By working together, academia and industry can develop robust solutions for AI-generated photo detection that have a positive real-world impact. Academia brings expertise on cutting-edge research on detection techniques, while industry possesses a wealth of data, experience with real-world challenges and limitations, and the ability to translate research into production at internet scale. Partnering with AcademiaĪs AI-generated faces become increasingly indistinguishable from real faces, academia and industry must collaborate closely on detection solutions. In this blog, we will describe how LinkedIn partnered with academia to research advanced detection techniques, provide details on our research, and share our results on how our jointly developed detection technique technique is able to detect 99.6% of a common type of AI-generated profile photos, while rarely–only 1% of the time–misclassifying a real profile photo as synthetic. To protect members from inauthentic interactions online, it is important that the forensic community develop reliable techniques to distinguish real from synthetic faces that can operate on large networks with hundreds of millions of daily users, like LinkedIn. ![]() And we’ve found that most members are generally unable to visually distinguish real from synthetically-generated faces, and future iterations of synthetic media are likely to contain fewer obvious artifacts, which might show up as slightly distorted facial features. With the rise of AI-generated synthetic media and text-to-image generated media, fake profiles have grown more sophisticated. And as part of our ongoing work, we’ve been partnering with academia to stay one step ahead of new types of abuse tied to fake accounts that are leveraging rapidly evolving technologies like generative AI. We are constantly working to improve and increase the effectiveness of our anti-abuse defenses to protect the experiences of our members and customers. This spans the detection and prevention of fake accounts, account takeovers, and policy-violating content. Update 3 (October 9, 2023)Ġ9:45 am (IST): Users are reporting that LinkedIn is currently down or not working for them ( 1, 2, 3).Ġ6:25 pm (IST): The recent issue with LinkedIn has been resolved.Co-authors: Shivansh Mundra, Gonzalo Aniano Porcile, Smit Marvaniya, Hany FaridĪ core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. Update 2 (September 19, 2023)Ġ8:30 am (IST): It seems that the latest LinkedIn server issues were resolved hours ago, so the platform should now be accessible. Update 1 (September 18, 2023)Ġ5:29 pm (IST): LinkedIn servers are currently down or not working, according to fresh reports ( 1, 2, 3). Is LinkedIn down for you too? Don’t worry, we are keeping a continuous tab on all related developments, and will continuously update this page with relevant info. Going by Down detector – the service that gives information about outages – LinkedIn is indeed encountering some issue in the UK and other region as can be seen in the live outage map below. #LinkedIn is down … and it its treating it like a amicable break up “it’s not you. The Android app doesn’t load the site, then it does, then it says I don’t have a profile. Here’s how some of the complainants word the seems to be down? The site doesn’t load, then says ‘We’re getting things cleaned up.’. We’ll be back soon” (as can be seen in the image below). We’ve seen many users across micro-blogging site complain about the same.Īs per reports, the site is not loading and users get to see a notification stating “We’re getting things cleaned up. 19, 2019) follows:įor those of you who are trying to get your head around why LinkedIn isn’t working for them, well, find solace in the fact that you aren’t the only one facing this glitch at the moment. ![]() New updates are being added at the bottom of this story…
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