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Neural Network-based cryptography is being developed as a potential alternative to traditional methods, aiming to enhance encryption security through unique, adaptable schemes.
A novel defense mechanism called BAN has been proposed to enhance the detection of backdoor attacks on deep learning models, demonstrating superior performance and efficiency compared to existing methods.