Study on Network Virtual Printing Sculpture Design using Artificial Intelligence

نویسندگان

چکیده

Sculptures are visionaries of a country’s culture from time immemorial. Chinese sculptures hold an aesthetic value in the global market, catalysed by opening country's gates. On other hand, this paved way for many duplicates and replicates original sculptures, defaming entire artwork. This work proposes defrauding model that deploys Siamese-based Convolutional Neural Network (S-CNN) effectively detects mimicked sculpture images. Nevertheless, adversarial attacks gaining momentum, compromising deep learning models to make predictions faked or forged The uses Simplified Graph (SGCN) misclassify images generated Fast Gradient Sign Method (FGSM) combat attack. model's training is done with Imagenet dataset. By transfer learning, rested its efficacy identifying examples God results showed proposed could detect reasonable misclassification rate.

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ژورنال

عنوان ژورنال: nternational journal of communication networks and information security

سال: 2023

ISSN: ['2073-607X', '2076-0930']

DOI: https://doi.org/10.17762/ijcnis.v15i1.5694