Abstract: A computing method for privacy-preserving data analysis is provided, in which the computing method is performed by at least one processor and includes receiving a data analysis request including data-to-be-analyzed from a client, homomorphically encrypting the data-to-be-analyzed using an encryption engine, and uploading the homomorphically encrypted data-to-be-analyzed to a target path of a blockchain, and then, the method includes, based on the request to check analysis result, decrypting an analysis result of the homomorphically encrypted data stored in a designated path of the blockchain by using the encryption engine, and providing the decrypted analysis result to the client, in which the analysis result of the homomorphically encrypted data is data analyzed by a worker linked to the blockchain, and stored in a designated path in association with the target path of the blockchain.

Abstract: The present disclosure relates to a non-transitory storage medium for storing program code and a method of executing an artificial intelligence (AI) pipeline non-fungible token (NFT). The program code is executed by a hardware processor to mint a blockchain-based NFT including ownership information of the AI pipeline, request an execution of the program code performing a predetermined function in an event node executing the AI pipeline according to a request of execution of an NFT owner, connect to at least one worker node to execute a target AI pipeline of the NFT, receive an execution result value of the worker node to record a proof-of-work for the execution result value in the event node, and collect the execution result value of the worker node on which the proof-of-work is performed is performed to change a blockchain state.