April 16, 2024, 4:43 a.m. | Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08814v1 Announce Type: cross
Abstract: As generative AI progresses rapidly, new synthetic image generators continue to emerge at a swift pace. Traditional detection methods face two main challenges in adapting to these generators: the forensic traces of synthetic images from new techniques can vastly differ from those learned during training, and access to data for these new generators is often limited. To address these issues, we introduce the Ensemble of Expert Embedders (E3), a novel continual learning framework for updating …

abstract arxiv challenges cs.ai cs.cv cs.lg data detection detection methods detectors ensemble expert face generative generators image image generators images swift synthetic traces type

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