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On the Effectiveness of Defensive Distillation

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arxiv 1607.05113 v1 pith:MQPVLXHY submitted 2016-07-18 cs.CR

Nicolas Papernot , Patrick McDaniel This is my paper · ORCID
classification cs.CR
keywords crafteddefensivedistillationadditionadversarialattackdefenseeffectiveness
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We report experimental results indicating that defensive distillation successfully mitigates adversarial samples crafted using the fast gradient sign method, in addition to those crafted using the Jacobian-based iterative attack on which the defense mechanism was originally evaluated.

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    Adapting program inputs with a layerwise validity score and genetic search improves deep code model accuracy by up to 8.78% without retraining.

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