Marcas de agua invisibles para imágenes de IA y prueba de audio

Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

1. ¿Cómo difieren las marcas de agua invisibles de imágenes y audio de la marca de agua de texto con la que el guía las contrasta?
   • They are stamped as a visible logo in one corner of the content
   • They add imperceptible changes to pixel or sample values instead of steering word choice
   • They rely entirely on file metadata fields that travel alongside the content
   • They require viewers to install a special codec before the content will play
2. ¿Qué organización desarrolló AudioSeal?
   • Google Mente Profunda
   • OpenAI
   • Meta
   • Adobe
3. Un detector no encuentra ninguna marca de agua en una imagen. ¿Qué puedes concluir correctamente?
   • Only that no mark from that system was found; the image could still be AI-generated
   • That the image is proven to be a genuine photograph
   • That the image was edited in a photo editor after it was taken
   • That the watermark has moved into the file's metadata
4. ¿Qué ataque describe el guía como capaz de debilitar o eliminar las marcas de agua de imágenes?
   • Viewing the image on a phone screen
   • Renaming the image file
   • Changing the file's creation date
   • Regenerating the image through a diffusion model
5. ¿Dónde oculta su marca de agua el método académico Tree-Ring?
   • In a fine-tuned text encoder
   • In the model's starting noise
   • In a hidden EXIF tag
   • In a faint visible grid over the image
6. What is the purpose of the 'attack layer' used when training a learned watermarking system?
   • To speed up inference on consumer hardware
   • To encrypt the payload so only the owner can read it
   • To simulate edits such as compression and cropping so the decoder learns to recover the mark anyway
   • To make the watermark visible for debugging
7. How do C2PA content credentials differ from invisible watermarks?
   • They are embedded directly in audio samples
   • They are produced by the diffusion model's starting noise
   • They cannot be removed under any circumstances
   • They are signed metadata that can be lost when a file is re-saved
8. Why do providers often restrict who can query their watermark detectors?
   • An attacker with detector access can optimize perturbations until the mark is no longer detected
   • Detectors are too large to distribute
   • Laws forbid sharing any detection software
   • Detectors only work without an internet connection