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Domain 1Objective 4

AI Attack Taxonomies and Classification Models COASP Practice Questions (Page 4)

Part of the Offensive AI Foundations and Hacking Methodology domain, which makes up ~18% of our current practice bank.

39questions here
8free pages
5concepts

Questions 16–20

  1. 16foundation · easy

    In the AI attack lifecycle, which stage involves the attacker gathering information about the target model's architecture, training data, or APIs?

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  2. 17foundation · easy

    An attacker modifies input data at inference time to cause a model to misclassify a sample. This is an example of which type of adversarial machine learning attack?

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  3. 18expert · hard

    A red team is planning an attack on a facial-recognition system used for physical access control. The team's objective is to gain unauthorized entry. The team has access to a photo of an authorized employee but cannot modify the model or its training data. Which attack strategy is most likely to achieve the objective, and which lifecycle stage does it primarily represent?

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  4. 19expert · hard

    An offensive AI consultant is tasked with assessing a financial trading AI system. The consultant has identified that the system uses a reinforcement learning (RL) agent that interacts with a simulated market environment for training. The consultant has access to the training environment but not the production environment. Which attack taxonomy-based approach should the consultant prioritize to cause the most significant financial impact?

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  5. 20application · medium

    During a red-team engagement, an analyst maps an attack against a computer-vision model used for access control. The team first studies the model's confidence scores on various inputs to understand its weaknesses, then crafts a physical sticker that causes the model to misidentify an authorized person. Which two stages of the AI attack lifecycle does this sequence primarily represent?

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