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  2. Deepfake video app Avatarify, which processes on-phone ... - AOL

    www.aol.com/news/deep-fake-video-app-avatarify...

    Avatarify says it will soon launch a digital watermark to prevent this from happening. Run out of Moscow but with a U.S. HQ, Avatarify launched in July 2020 and since then has been downloaded ...

  3. Digital ‘watermarks’ will not save us from deepfakes and AI ...

    www.aol.com/finance/digital-watermarks-not-save...

    It is simply too easy for bad actors to figure out ways to remove the watermarks or bypass the watermarking process. (Compared to images, there is even less consensus about exactly how to ...

  4. Digital watermarking - Wikipedia

    en.wikipedia.org/wiki/Digital_watermarking

    A digital watermark is called imperceptible if the original cover signal and the marked signal are perceptually indistinguishable. A digital watermark is called perceptible if its presence in the marked signal is noticeable (e.g. digital on-screen graphics like a network logo, content bug, codes, opaque images). On videos and images, some are ...

  5. Digital video fingerprinting - Wikipedia

    en.wikipedia.org/wiki/Digital_video_fingerprinting

    Some watermarks can be inserted in a way that they are imperceptible to a viewer. A robust watermark can be difficult to detect and remove, but the removal of invisible watermarks is a significant weakness. Since watermarks must be inserted into the video, they only identify copies of the particular video made after that point in time.

  6. Text watermarking - Wikipedia

    en.wikipedia.org/wiki/Text_watermarking

    Text watermarking is a technique for embedding hidden information within textual content to verify its authenticity, origin, or ownership. [1] With the rise of generative AI systems using large language models (LLM), there has been significant development focused on watermarking AI-generated text . [ 2 ]

  7. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.