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Optimal Adversarial Testing: Extracting Honest Test Results from Dishonest Test Takers
applicationsartificial-intelligencecomputer-science-and-game-theorycryptography-and-securitymethodologysignal-processing
In applications, it is often required to test objects or people to determine their qualities in terms of certain metrics. However, besides being naturally noisy, the test results can be corrupted by adversarial behaviors of objects or people being tested (test takers). For example, dishonest test ta
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