EpiReal-Bench

FALSE CLAIMS, CREDIBLE IMAGES: A RED-TEAMING BENCHMARK FOR COMMERCIAL IMAGE GENERATORS Abstract Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from real-world evidence, such as news reports and textbook pages. Yet, the same...

FARE: Forensic Acceptance Region Estimation for Catching Bait-And-Switch Image Generators

Modern AI image generators are increasingly deployed as opaque APIs, where customers can query the deployed service, but cannot inspect model weights or architecture. This creates a practical challenge: a provider may pass governance certification with one generator and later silently switch to a...