Abstract: An information processing device executes learning a generative model that generates data belonging to a designated class on the basis of a noise vector and the designated class by executing a learning algorithm of a conditional generative adversarial network, learning a classification model that classifies input data based on whether the input data is in the designated class, and determining whether a property is satisfied when the classification model classifies an output of the generative model by executing a formal verification algorithm. The property indicates that the generative model does not generate data classified into a class different from a first class designated for the generative model, within a range of a certain norm of a noise vector input to the generative model.

Abstract: A requester device 12 registers inspection target data in a file server 18. An inspector device 14 operated by an inspector who inspects whether the inspection target data is illegitimate or not acquires, from the file server 18, the inspection target data registered by the requester device 12 and registers an inspection result of the inspection target data in a blockchain network 22. A viewer device 16 acquires, from the blockchain network 22, the inspection result registered by the inspector device 14 and executes data processing based on the inspection result.

Abstract: An information processing apparatus acquires a user setting related to a feature of adversarial training and performs the adversarial training that trains a neural network by using training data including an adversarial sample and correct answer data indicating an original classification class, and the user setting, the adversarial training training the neural network that outputs a misclassification class in a case where the adversarial sample is input so as to output the original classification class in a case where the adversarial sample is input. The apparatus determines, by executing a format validation algorithm, that the adversarial sample does not exist within a predetermined range of noise of specific data in the neural network using a weighting factor obtained by the adversarial training.

Abstract: A requester device 12 registers inspection target data in a file server 18. An inspector device 14 operated by an inspector who inspects whether the inspection target data is illegitimate or not acquires, from the file server 18, the inspection target data registered by the requester device 12 and registers an inspection result of the inspection target data in a blockchain network 22. A viewer device 16 acquires, from the blockchain network 22, the inspection result registered by the inspector device 14 and executes data processing based on the inspection result.

Abstract: An information processing device applies a machine learning model to content for a specific thing for sale to generate changed content in which a predetermined portion other than the specific thing for sale in the content is changed, provides a user with the changed content having been generated, and applies a machine learning model to content for another thing for sale and changes a predetermined portion other than the other thing for sale in accordance with an action of the user with respect to the changed content in the content for the other thing for sale to generate changed content for the other thing for sale.

Abstract: A requester device 12 registers inspection target data in a file server 18. An inspector device 14 operated by an inspector who inspects whether the inspection target data is illegitimate or not acquires, from the file server 18, the inspection target data registered by the requester device 12 and registers an inspection result of the inspection target data in a blockchain network 22. A viewer device 16 acquires, from the blockchain network 22, the inspection result registered by the inspector device 14 and executes data processing based on the inspection result.

Abstract: A requester device 12 registers inspection target data in a file server 18. An inspector device 14 operated by an inspector who inspects whether the inspection target data is illegitimate or not acquires, from the file server 18, the inspection target data registered by the requester device 12 and registers an inspection result of the inspection target data in a blockchain network 22. A viewer device 16 acquires, from the blockchain network 22, the inspection result registered by the inspector device 14 and executes data processing based on the inspection result.

Abstract: A requester device 12 registers inspection target data in a file server 18. An inspector device 14 operated by an inspector who inspects whether the inspection target data is illegitimate or not acquires, from the file server 18, the inspection target data registered by the requester device 12 and registers an inspection result of the inspection target data in a blockchain network 22. A viewer device 16 acquires, from the blockchain network 22, the inspection result registered by the inspector device 14 and executes data processing based on the inspection result.