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Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection. (arXiv:2206.07321v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Evasion attacks against machine learning models often succeed via iterative
probing of a fixed target model, whereby an attack that succeeds once will
succeed repeatedly. One promising approach to counter this threat is making a
model a moving target against adversarial inputs. To this end, we introduce
Morphence-2.0, a scalable moving target defense (MTD) powered by
out-of-distribution (OOD) detection to defend against adversarial examples. By
regularly moving the decision function of a model, Morphence-2.0 makes it
significantly challenging for repeated …
defense detection distribution evasion moving moving target defense target