Embodiments of the disclosure relate to verifying a watermark of an artificial intelligence (AI) model for a data processing (DP) accelerator. In one embodiment, a system receives an inference request from an application. The system extracts the watermark from an AI model having the watermark. The system verifies the extracted watermark based on a policy. The system applies the AI model having a watermark to a set of inference inputs to generate inference results. The system sends a verification proof and the inference results to the application.

In another aspect, a system for machine learning using a distributed framework, includes a computing device communicatively connected to a plurality of remote devices, the computing device designed and configured to select at least a remote device of a plurality of remote devices, determine a confidence level of the at least a remote device, and assign at least a machine-learning task to the at least a remote device, wherein assigning further comprises assigning at least a secure data storage task to the at least a remote device and assigning at least a model-generation task to the at least a remote device.

A system software and method which relates to the field of computing technology or business process models or computer systems or distributed computer systems or computer networks relating to general purpose devices that can be programmed to carry out a set of data table or hash table updates, validations or modifications supporting, enabling or executing public and private services, financial transactions and commercial applications. More specifically, the present invention is directed to distributed and decentralized computing in which said distributed network is supported and encrypted by cryptographic technology, hash functions and distributed public or private keys or other related technology. System and methods for managing dynamic electronic documents on a private distributed ledger comprise establishing a dynamic electronic document comprising a first state object, wherein the state object references a prior approved first transaction; proposing a second transaction comprising as an input the first state object and as an output a transaction command to alter the state object as well as what parameters are required to validate the second transaction; validating the proposed second transaction; and updating the state object on a private distributed ledger to reference the second transaction.

The present disclosure relates to methods and devices for a hearing system. A method, performed by a hearing device of a hearing system comprising a hearing device system and an external device, the hearing device system comprising the hearing device and a user accessory device with a user application installed thereon is disclosed, the method comprising receiving, from the user accessory device, secure hearing system data, the secure hearing system data comprising a data type identifier; determining a data type of the secure hearing system data based on the data type identifier; determining hearing system data by applying a security scheme to the secure hearing system data based on the data type; and operating the hearing device according to the hearing system data.

Provided is a method for securely diversifying a generic application stored in a secure processor of a terminal, said method comprising: Generating at the request of a manager application hosted in an application processor of said terminal, at the level of a distant server, a server challenge; Sending said server challenge to said application; Generating a first message at said application, said first message being function of said server challenge, an application challenge and an unique identifier of said application; Sending said first message to a Root-Of-Trust service hosted in a secure processor of said terminal, said Root-of-Trust service generating an attestation of said first message, said attestation guaranteeing that said first message has not been modified and originates from said secure processor; and Transmitting said attestation of said first message to said distant server in an enablement request message.

A method for deriving a partial signature for a subset of a set of messages. The method is implemented by a partial signature derivation entity and includes: receiving the set of messages and a signature of the set of messages, the signature including signature elements of the set of messages; deriving a first verification element calculated from the messages of the set other than those of the subset; deriving a second verification element to prove that the first verification element is formed correctly; and sending to a verification entity a partial signature specific to the subset, the partial signature including a constant number of elements having at least the elements of the signature of the set of messages, the first verification element and the second verification element, the partial signature being verifiable with only messages of the subset.

A data processing method and apparatus based on a blockchain network, and a computer device. The method includes acquiring a transaction request, the transaction request carrying transaction data and reference signature data corresponding to the transaction data; validating the transaction data and the reference signature data; determining a matching node device from a target node device if the transaction data and the reference signature data are validated, and acquiring a signing key of the matching node device; determining data to be signed according to the transaction data, and signing on the data to be signed using the signing key of the matching node device to obtain endorsement signature data; and transmitting the endorsement signature data to the management device, wherein the management device generates a transaction block according to the endorsement signature data and the transaction data.

The present invention realizes an electronic signature system with high security level in which abuse of a signature key by a system administrator is prevented. A user sets an authentication information conceived by the user himself to his/her own signature key stored in the tamper resistant device (5) via the terminal device (2). When digitally signing an electronic document, the user transmits his/her own encrypted authentication information to the tamper resistant device (5) through the terminal device (2) and asks for permission to use his/her signature key. The tamper resistant device (5) decodes the inputted authentication information, verifies the decoded authentication information, and allows the digital signing only if the correct authentication information is entered. As a result, the electronic signature system in which only a user having valid use authority for the signature key can digitally sign is built.

Different aspects of the invention implement an enhanced DLT system, and corresponding method, that allows the peer-to-peer transmission of huge amounts of data packets of content between users, and to be stored in the DLT network, in a secure, trustworthy and efficient manner. By allowing the interface between any type of existing layer 1 DLT network, it does not require the complex, slow, costly and highly risk process involved in the generation of a new layer 1 DLT network. It opens up the range of possible applications of the DLT network to applications in Big Data, IOT, Web 3, MMOG, or any other environment that needs the trust provided by the immutability of data stored in the DLT network.

A system and method for preventing hacking of blockchain is proposed. The system includes a cryptocurrency owner configured to own a cryptocurrency wallet storing a cryptocurrency, a public key, and a private key, and capable of setting monitoring-subjected data and monitoring-excluded data, a hacking countermeasure system configured to check status of the cryptocurrency wallet by being connected to the cryptocurrency owner to receive the cryptocurrency and the public key, invalidate a hacking transaction when the hacking transaction matching the monitoring-subjected data is received, and allow the cryptocurrency to be traded by opening the cryptocurrency wallet with the private key and process transaction details into a block file when a monitoring-excluded transaction matching the monitoring-excluded data is received, and a blockchain network configured to receive the block file from the hacking countermeasure system and duplicate the block file into a plurality of block files to distribute and store each block file.