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    defensive distillation

    Defensive distillation is an adversarial training technique used in the field of machine learning, specifically in the context of deep learning. The technique protects neural networks from adversarial attacks and makes an algorithm’s classification process more flexible so the model is less vulnerable to exploitation. (more…)