Pre-trained model update device, pre-trained model update method, and program

A pre-trained model update method executed by a pre-trained model update device, the pre-trained model update method comprising:

• generating an alternative example and a correct answer label corresponding to the alternative example, based on a generative model representing training data used in generating a pre-trained model;
• generating an adversarial example inducing the pre-trained model to misclassify and a correction label corresponding to the adversarial example, based on an attack model and based on the alternative example and the correct answer label generated by the alternative example generation unit;
• and
• performing additional learning based on the alternative example and the correct answer label and based on the adversarial example and the correction label, and generating an updated model.

A non-transitory computer-readable recording medium having a computer program recorded thereon, the computer program comprising instructions for causing a pre-trained model update device to realize:

• an alternative example generation unit configured to generate an alternative example and a correct answer label corresponding to the alternative example, based on a generative model representing training data used in generating a pre-trained model;
• an adversarial example generation unit configured to generate an adversarial example inducing the pre-trained model to misclassify and a correction label corresponding to the adversarial example, based on an attack model and based on the alternative example and the correct answer label generated by the alternative example generation unit;
• and
• a model update unit configured to perform additional learning based on a result of generation by the alternative example generation unit and a result of generation by the adversarial example generation unit, and generate an updated model.