Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses

Mohammad Hashemi
Mohammad Hashemi
Greg Cusack
Greg Cusack

AISec@CCS, pp. 25-36, 2018.

Cited by: 4|Views1
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Abstract:

It has been shown that adversaries can craft example inputs to neural networks which are similar to legitimate inputs but have been created to purposely cause the neural network to misclassify the input. These adversarial examples are crafted, for example, by calculating gradients of a carefully defined loss function with respect to the i...More

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