👉 The "Weapon" in the context of AI and machine learning refers to a specific type of attack or vulnerability where an adversary manipulates the input data to cause a machine learning model to produce incorrect outputs or behave in unintended ways. This can occur through various methods, such as injecting malicious data during training (data poisoning), crafting adversarial examples that exploit model weaknesses, or manipulating the model's decision boundaries. Understanding and mitigating these types of attacks is crucial for ensuring the robustness and reliability of AI systems.
