Adversarial Attacks
Morphence
Introduced by Amich et al. in Morphence: Moving Target Defense Against Adversarial ExamplesMorphence is an approach for adversarial defense that shifts the defense landscape by making a model a moving target against adversarial examples. By regularly moving the decision function of a model, Morphence makes it significantly challenging for repeated or correlated attacks to succeed. Morphence deploys a pool of models generated from a base model in a manner that introduces sufficient randomness when it responds to prediction queries. To ensure repeated or correlated attacks fail, the deployed pool of models automatically expires after a query budget is reached and the model pool is replaced by a new model pool generated in advance.
Source: Morphence: Moving Target Defense Against Adversarial Examples
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
