Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal ...

Selective forgetting aims to reduce the classification accuracy for classes to be forgotten while maintaining the accuracy for the classes to be remembered. The proposed method, which targets the ...