Goldman Sachs &co. LLC

Dominic Dotterrer

Paul Burchard

Rahul Sharma

Anthony Daoud

Fabiano Romeiro

Raj Mahajan

Marco Argenti

Lachlan Maxwell

A method for compliance with Know Your Customer (KYC) and other regulations includes a pseudonymous globally unique identifier stored on a blockchain that associates a pseudonymous first party address with a globally unique identifier representing the vetted identity of the owner of the address. The method also includes a trusted third party issuing a verifiable credential for a first pseudonymous party to a proposed transaction to a second pseudonymous party to the transaction.

Pseudonymous transactions on blockchains compliant with know your customer regulations and reporting requirements

An empirical approach to providing differential privacy includes applying a common statistical query to a set of databases to produce sample values, both with and without any particular entity's data. The probability density is empirically estimated by sorting the sample values to generate an empirical cumulative distribution function. The cumulative distribution function is differenced across approximately the square root of the number of sample points to get an empirical density function. The statistical query is empirically (&#x3b5;,&#x3b4;)-private if the empirical densities with and without any particular individual differ by a factor of no more than exp(&#x3b5;), with the exception of a set for which the densities exceed that bound by a total of no more than &#x3b4;.

Empirically providing data privacy with reduced noise

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New York, NY, United States of America

Dominic Dotterrer