{
  "patent_number": "US 12248556",
  "country": "US",
  "title": "Making AI-Generated Content Traceable with a Hidden Code",
  "original_title": "Authenticator-integrated generative adversarial network (GAN) for secure deepfake generation",
  "summary": "Intel's patent describes a method for embedding a hidden, verifiable authentication code directly into AI-generated content, like deepfakes, during their creation process.",
  "what_it_does": "The patent describes a system that uses three interconnected AI networks: a generative neural network (the \"creator\"), a discriminator neural network (the \"critic\"), and an authenticator neural network (the \"verifier\"). The creator makes new samples, trying to fool the critic into thinking they are real. Crucially, the verifier also \"digests\" both real and created content, along with a secret \"authentication code.\" The verifier then helps embed this code into the created samples by influencing the creator's training process (specifically, its \"generator loss\"). This results in AI-generated content that contains a hidden, verifiable authentication code, which the verifier can later use to confirm the content's origin. For example, a video generated by this system would have an invisible digital watermark proving it came from a specific source, verifiable by the authenticator neural network based on the embedded code.",
  "what_it_does_not_cover": [
    "Does not cover methods for detecting deepfakes after they have been generated without an embedded authentication code.",
    "Does not cover authentication systems that rely on external watermarking or metadata added after content generation.",
    "Does not cover AI-generated content that does not involve a generative adversarial network (GAN) architecture.",
    "Does not cover authentication methods that do not involve an \"authenticator neural network\" directly contributing to the generator's training loss."
  ],
  "filed": "2021-06-23",
  "granted": "2025-03-11",
  "expires": "2041-06-23",
  "status": "active",
  "holder": "Intel",
  "holder_url": "https://patentbrief.org/company/intel",
  "inventors": [
    {
      "name": "Ilke Demir",
      "url": "https://patentbrief.org/inventor/ilke-demir"
    },
    {
      "name": "Carl S. Marshall",
      "url": "https://patentbrief.org/inventor/carl-s-marshall"
    },
    {
      "name": "Satyam Srivastava",
      "url": "https://patentbrief.org/inventor/satyam-srivastava"
    },
    {
      "name": "Steven Gans",
      "url": "https://patentbrief.org/inventor/steven-gans"
    }
  ],
  "times_cited": 0,
  "tags": [
    "ai_ml",
    "software",
    "telecommunications",
    "consumer_electronics",
    "cybersecurity"
  ],
  "abstract": "An apparatus to facilitate an authenticator-integrated generative adversarial network (GAN) for secure deepfake generation is disclosed. The apparatus includes one or more processors to: generate, by a generative neural network, samples based on feedback received from a discriminator neural network and from an authenticator neural network, the generative neural network aiming to trick the discriminator neural network to identify the generated samples as real content samples; digest, by the authenticator neural network, the real content samples, the generated samples from the generative neural network, and an authentication code; embed, by the authenticator neural network, the authentication code into the generated samples from the generative neural network by contributing to a generator loss provided to the generative neural network; generate, by the generative neural network, content comprising the embedded authentication code; and verify, by the authenticator neural network, the content based on the embedded authentication code.",
  "url": "https://patentbrief.org/patent/us/12248556/authenticator-integrated-generative-adversarial-network-gan-for-secure-deepfake-",
  "markdown_url": "https://patentbrief.org/patent/us/12248556/authenticator-integrated-generative-adversarial-network-gan-for-secure-deepfake-/md",
  "google_patents_url": "https://patents.google.com/patent/US12248556",
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