NeuPerm: Disrupting Malware Hidden in Neural Network Parameters by Leveraging Permutation Symmetry

NeuPerm is a zero-trust technique that disrupts malware hidden in neural network parameters by exploiting permutation symmetry. It applies specific parameter reordering based on the network architecture to break steganography attacks like MaleficNet, proving effective against resilient threats without degrading model performance.

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