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Model Evasion (0ba17a74-54ee-5bca-9012-d34628ba46f8)

Evasion attacks involve modifying the input data to evade detection or classification by the model. These attacks can be used to bypass security systems, such as intrusion detection systems or spam filters. Example: Specific malware is crafted to avoid being flagged by a machine-learning-based antivirus.

Threat-modeling question: Is our AI model resilient to evasion attacks?

Cluster A Galaxy A Cluster B Galaxy B Level
Craft Adversarial Data (a7c30122-b393-4265-91b7-57cd1211e3f9) MITRE ATLAS Attack Pattern Model Evasion (0ba17a74-54ee-5bca-9012-d34628ba46f8) PLOT4ai 1
Evade ML Model (071df654-813a-4708-85dc-f715f785d37f) MITRE ATLAS Attack Pattern Model Evasion (0ba17a74-54ee-5bca-9012-d34628ba46f8) PLOT4ai 1