- New York NY, US Tom Bollich - New York NY, US Adam Helfgott - New York NY, US Rebecca Lerner - Los Angeles CA, US Nelson Hunter Prendergast - Reynoldsburg OH, US Nikolaos Melissaris Papanikolaou - Westfield NJ, US
International Classification:
G06F 21/62 G06F 17/18 H04L 9/06 H04L 9/00
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.
Methods And System For Providing Oversight And Auditing Of Advertisement Impressions And For Running Advertisement Campaigns
- New York NY, US Tom Bollich - New York NY, US Adam Helfgott - New York NY, US Rebecca Lerner - Los Angeles CA, US Nelson Hunter Prendergast - Reynoldsburg OH, US Nikolaos Melissaris Papanikolaou - Westfield NJ, US
International Classification:
G06Q 30/02 G06F 16/27
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.
Methods And System For Serving Targeted Advertisements To A Consumer Device
- New York NY, US Tom Bollich - New York NY, US Adam Helfgott - New York NY, US Rebecca Lerner - Los Angeles CA, US Nelson Hunter Prendergast - Reynoldsburg OH, US Nikolaos Melissaris Papanikolaou - Westfield NJ, US
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.