Examples are described for dynamically applying a digital watermark to a file, such as a dataset of genomic sequencing data. In one example, a method of dynamically applying a watermark to at least a portion of a file includes generating, using a secret key, a first random seed, generating, using the first random seed, an ordered pseudorandom set of integers, generating, using entity information and timing information, a second random seed, selecting, using the second random seed, a subset of the ordered pseudorandom set of integers, and modifying data at data locations in the file corresponding to at least a portion of the identifiers included in the subset to generate a watermarked file. The method may further include performing a check to determine whether the watermark is present in a file using a sequence of watermark elements that are generated based on the secret key.

Systems and method for watermarking portions of code for the purposes of identification are described. A computer-implemented method of watermarking a portion of code with identification data includes: determining, by a computing device, a number of existing whitespace characters in the portion of code; encoding, by the computing device, the identification data using a set of reference whitespace characters; and embedding, by the computing device, the encoded identification data into the portion of code, wherein the embedding the encoded identification data includes, based on the determined number of existing whitespace characters, either replacing existing whitespace characters in the portion of code with the encoded identification data or inserting the encoded identification data characters into the portion of code.

Systems and method for watermarking portions of code for the purposes of identification are described. A computer-implemented method of watermarking a portion of code with identification data includes: determining, by a computing device, a number of existing whitespace characters in the portion of code; encoding, by the computing device, the identification data using a set of reference whitespace characters; and embedding, by the computing device, the encoded identification data into the portion of code, wherein the embedding the encoded identification data includes, based on the determined number of existing whitespace characters, either replacing existing whitespace characters in the portion of code with the encoded identification data or inserting the encoded identification data characters into the portion of code.

Embodiments of the disclosure relate to configuring a watermark unit with watermark algorithms for artificial intelligence (AI) models for a data processing (DP) accelerator. In one embodiment, in response to a request received by a DP accelerator, the request, sent by an application, to apply a watermark algorithm to an AI model by the DP accelerator, a system determines that the watermark algorithm is not available at a watermark unit of the DP accelerator. The system sends a request for the watermark algorithm. The system receives the watermark algorithm by the DP accelerator. The system configures the watermark unit at runtime with the watermark algorithm for the watermark algorithm to be used by the DP accelerator.

Embodiments of the disclosure relate to configuring a watermark unit with watermark algorithms for artificial intelligence (AI) models for a data processing (DP) accelerator. In one embodiment, in response to a request received by a DP accelerator, the request, sent by an application, to apply a watermark algorithm to an AI model by the DP accelerator, a system determines that the watermark algorithm is not available at a watermark unit of the DP accelerator. The system sends a request for the watermark algorithm. The system receives the watermark algorithm by the DP accelerator. The system configures the watermark unit at runtime with the watermark algorithm for the watermark algorithm to be used by the DP accelerator.

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.

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.

An electronic watermark embedding apparatus according to an embodiment is an electronic watermark embedding apparatus capable of embedding an electronic watermark into a decoding circuit of secret-key encryption, and includes an embedding unit configured to generate the decoding circuit. The decoding circuit is embedded with the electronic watermark by being input with a common parameter generated in a setup of the secret-key encryption, a secret key of the secret-key encryption, and the electronic watermark, and is capable of decoding an encrypted text encrypted using the secret-key encryption.

An artwork management method executed by one or more computers is provided. The artwork management method includes detecting, by a first computer included in the one or more computers, artwork included in a website, determining, by the first computer, whether or not a purchase transaction indicating purchase of the artwork detected is recorded in a blockchain network, and transmitting, by the first computer, a report indicating discovery of unauthorized use of the artwork, in a case where the first computer determines that the purchase transaction is not recorded. According to one aspect, the artwork management method suppresses illegal use of artwork while maintaining accessibility of the artwork.

An embodiment for media transit management is provided. The embodiment may include receiving one or more images and one or more pre-set configuration criteria regarding management of an image file. The embodiment may also include monitoring for an attempted sharing of the image file. The embodiment may further include in response to determining each object in the one or more images matches each object in the image file, identifying at least one other user who is attempting to share the image file. The embodiment may also include in response to determining the at least one other user is not authorized to share the image file, analyzing the one or more pre-set configuration criteria correlated with the image file. The embodiment may further include in response to determining the image file does not meet the one or more pre-set configuration criteria, prompting the participating user to respond to a notification.