From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Output integrity attacks

Output integrity attacks

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Output integrity attacks

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Output integrity attacks interfere with what comes out of an AI system when an attacker can't control the model directly. The attacker uses techniques that degrade, distort, or corrupt outputs without touching the model architecture or weights. The goal is to mislead users, influence decisions, or erode trust in the system's reliability. These attacks differ from adversarial inputs. Adversarial inputs target the model's perception or understanding. Output integrity attacks target the content after processing completes. The attacker changes the answer instead of changing the prompt. One approach uses a wrapper library that sits between the model and the app. An attacker distributes a malicious wrapper library that injects code into the output layer and then biases the results. The wrapper can nudge summaries in a preferred direction or suppress inconvenient facts while the model appears to work normally. Another approach targets chain-of-thought or multistage pipelines. In a…

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