Adversarial Attacks

Adversarial attacks refer to a technique used in the field of machine learning and artificial intelligence, where specially crafted input data is intentionally designed to cause machine learning models to produce incorrect outputs. These attacks are often used to test the robustness and security of machine learning algorithms and systems.

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• Adversarial Attacks

  Adversarial attacks refer to a technique used in the field of machine learning and artificial intelligence, where specially crafted input data is intentionally designed to cause machine learning models to produce incorrect outputs. These attacks are often used to test the robustness and security of machine learning algorithms and systems.