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Domain 1Objective 3

AI System Hacking Methodologies, Frameworks, and Risk Implications COASP Practice Questions (Page 2)

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

42questions here
9free pages
3concepts

Questions 6–10

  1. 6application · medium

    A social media company uses an AI model to moderate content. An attacker conducts an adversarial manipulation attack that causes the model to allow hate speech through. The company's legal team is worried about regulatory fines and reputational damage. Which operational risk is MOST directly increased by this attack?

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  2. 7application · medium · select all that apply

    A company is evaluating the risks of a successful adversarial attack on its AI-powered autonomous vehicle system. Select all the risk implications that apply.

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  3. 8application · medium

    A healthcare startup uses an AI model to triage patient symptoms. An attacker successfully poisons the training data, causing the model to misclassify critical conditions as low priority. The startup's leadership is concerned about the business and ethical fallout. Which risk implication is the MOST direct consequence of this data poisoning attack?

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  4. 9expert · hard

    A financial institution uses an AI model to detect money laundering. An attacker successfully performs a model extraction attack, creating a copy of the model. The attacker then uses the copy to identify blind spots in the model and crafts transactions that evade detection. Which risk is MOST directly increased by this attack?

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  5. 10application · medium

    A security analyst is reviewing an incident where an attacker used a technique to cause an AI model to misclassify images. The analyst wants to document the attack using MITRE ATLAS. The attacker used a technique that involves modifying the input image in a way that is imperceptible to humans but causes the model to misclassify. Which MITRE ATLAS technique is this?

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