Immigration agencies have been flooding social media with bizarre, seemingly AI-generated content. We now know more about what might be making it.

We investigate the internal mechanisms behind unfaithful generation and identify a subset of mid-to-deep (70%–90% relative depth range) FFNs that are disproportionately activated in such cases.

Abstract: Generative AI could be used not only for classification or prediction, but also to generate images, music, etc. based on the input data. Generative AI was abused to generate deepfake and ...

conda create -n hita python=3.10 -y conda activate hita pip install --upgrade pip # enable PEP 660 support pip install -e . Install additional packages for training cases as required. Two image ...