Abstract: A system and method for creating a physical three-dimensional model based on a plurality of digital assets is disclosed. The system comprises a first computing device, a second computing device, and a third computing device. The first computing device is configured for sending, over a communications network to a second computing device that is provisioned and managed by a third party, a compressed top-down model, and a compressed three-dimensional base model to be stored on the second computing device. The third computing device is configured for a user to interact with a user interface provided by the second computing device to combine digital assets and wherein the system simultaneously generates a three-dimensional rendering of the composite of the digital assets. The system then creates a new digital asset stored on a blockchain network and generates physical model thereof based on the composite three-dimensional rendering.

Abstract: A system and method for creating a physical three-dimensional model based on a plurality of digital assets is disclosed. The system comprises a first computing device, a second computing device, and a third computing device. The first computing device is configured for sending, over a communications network to a second computing device that is provisioned and managed by a third party, a compressed top-down model, and a compressed three-dimensional base model to be stored on the second computing device. The third computing device is configured for a user to interact with a user interface provided by the second computing device to combine digital assets and wherein the system simultaneously generates a three-dimensional rendering of the composite of the digital assets. The system then creates a new digital asset stored on a blockchain network and generates physical model thereof based on the composite three-dimensional rendering.

Abstract: Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.

Abstract: A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

Abstract: Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.

Abstract: Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.

Abstract: A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

Abstract: Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.

Abstract: A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

Abstract: A mechanism by which a secure, privacy preserving query system may be constructed from blockchain technology is disclosed. This system operates on the local differential privacy model through random responses using a private weighted coin protocol. The system specified allows for the ejection of malicious and/or non-interactive participants, minimizes blockchain storage size, and provides a mechanism for forward secrecy. The system specification uses a distributed random beacon to provide a public source of randomness. This randomness is utilized to perform random subset selection from a publicly known list of participating entities. The system uses a homomorphic self-tallying voting protocol under homomorphic encryption to further ensure participant privacy.

Abstract: A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.

Abstract: A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

Abstract: A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.

Abstract: A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.

Abstract: A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.

Abstract: A mechanism by which a secure, privacy preserving query system may be constructed from blockchain technology is disclosed. This system operates on the local differential privacy model through random responses using a private weighted coin protocol. The system specified allows for the ejection of malicious and/or non-interactive participants, minimizes blockchain storage size, and provides a mechanism for forward secrecy. The system specification uses a distributed random beacon to provide a public source of randomness. This randomness is utilized to perform random subset selection from a publicly known list of participating entities. The system uses a homomorphic self-tallying voting protocol under homomorphic encryption to further ensure participant privacy.