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3 cards from this section. Quick, good the night before a test.
What are adversarial examples?
Think of what kind of inputs could mislead an AI.
Define data poisoning in AI.
Consider how changing data inputs affects outcomes.
What is an adversarial example?
Think about how some inputs might not reflect reality.
True or False: Model inversion attacks can reveal sensitive information from a model.
Consider what attackers can learn through querying.
How would you design a system that can robustly detect and mitigate adversarial attacks before deployment?
Think about multiple layers of security and testing.
Propose a research study to analyze the impact of data poisoning on AI decision-making in healthcare.
Consider ethics as well when manipulating sensitive data.
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