On the Effectiveness of Defensive Distillation

Abstract

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.

Technical Report

Cited by in corpus (3)

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• The Human Visual System and Adversarial AI
• Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks