Copyright Compliance

‘Protected’ Images Are Easier, Not More Difficult, to Steal With AI

help There may be a notable and robust strand in computer vision literature dedicated to protecting copyrighted images from being trained into AI models, or getting used in direct image>image AI processes. Systems of this...

Automating Copyright Protection in AI-Generated Images

As discussed last week, even the core foundation models behind popular generative AI systems can produce copyright-infringing content, attributable to inadequate or misaligned curation, in addition to the presence of multiple versions of the...

Extracting Training Data From Superb-Tuned Stable Diffusion Models

Recent research from the US presents a way to extract significant portions of coaching data from fine-tuned models.This might potentially provide legal evidence in cases where an artist's style has been copied, or where...

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