Detecting Neural Trojans Through Merkle Trees. (arXiv:2306.05368v1 [cs.CR])

Deep neural networks are utilized in a growing number of industries. Much of
the current literature focuses on the applications of deep neural networks
without discussing the security of the network itself. One security issue
facing deep neural networks is neural trojans. Through a neural trojan, a
malicious actor may force the deep neural network to act in unintended ways.
Several potential defenses have been proposed, but they are computationally
expensive, complex, or unusable in commercial applications. We propose Merkle …

actor applications current issue literature malicious may merkle network networks neural networks security trees trojan trojans