Quantum-inspired analysis of neural network vulnerabilities: the role of conjugate variables in system attacks
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DOI: 10.1093/nsr/nwae141
Abstract: ABSTRACT Neural networks demonstrate vulnerability to small, non-random perturbations, emerging as adversarial attacks. Such attacks, born from the gradient of the loss function relative to the input, are discerned as input conjugates, revealing a systemic… read more here.
Keywords: inspired analysis; network vulnerabilities; network; analysis neural ... See more keywords