Dette projekt har til formål at kombinere sikker multiparty-beregning og blockchain-teknikker for at muliggøre effektiv databehandling, der beskytter privatlivets fred, hvilket muliggør beregning på private data, mens der opretholdes et revisionsspor til tredjepartsverifikation. Projektet kan potentielt hjælpe med at bekæmpe diskrimination samt fange uetisk og bedragerisk adfærd.
Projektperiode: 2022-2024
Projektleder
The project will investigate how to combine secure multiparty computation and blockchain techniques to obtain more efficient privacy-preserving computation with accountability. Privacy-preserving computation with accountability allows computation on private data (without compromising data privacy), while obtaining an audit trail that allows third parties to verify that the computation succeeded or to identify bad actors who tried to cheat. Applications include data analysis (e.g., in the context of discrimination detection and bench marking) and fraud detection (e.g. in the financial and insurance industries).
Using this kind of auditable continuous secure computation can help fight discrimination and catch unethical and fraudulent behaviour. Computations that advance these goals include aggregate statistics on salary information to help identify and eliminate wage gaps (e.g. as seen in the case of the Boston wage gap study [4]), statistics on bids in an auction or bets on a gambling site to determine whether those bids or bets are fraudulent, and many others.
Organizations would not be able to carry out such computations without the use of privacy-preserving technologies due to privacy regulations; so, secure computation is necessary here. To be useful, these secure computations crucially require authenticity and consistency of the inputs. Organizations, which will not necessarily be driven by altruism, will have several incentives to participate in these computations.
First, by using secure computation to detect fraud, the participants can guard against financial loss.
Second, when participants are public organizations, honest participation (which anyone can verify) will generate positive publicity.