Researchers introduced AdvSim2Real, a method for training web agents against adaptive prompt injection using a web world model, addressing the problem that third-party page content can redirect an agent away from the user's goal. The approach targets the constraint that agents cannot simply ignore page content, since pages also hold the values and controls a task requires. The source provides no further details on results, figures, or publication venue.
Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on a page can redirect the agent away from the user's goal. The agent cannot simply ignore the page, because the page also holds the values and controls the task requires. Current def
EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.