Launch a hill climbing attack and reach the client class

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Reference no: EM133695020

Question: The system is set up by taking several samples of a person's brain signal while performing a given cognitive task, such as solving a math problem. When the person attempts to log in again, another brain signal sample is provided while performing the same cognitive task. The authentication engine is a Naive Bayes classifier (NBC), which forms a distribution of the client class (the person's brain signals) and world class (everyone else's brain signals) and recognizes based on the likelihood computation discussed in the NBC video. The training data for the world class is available to an adversary. Additionally, the adversary has black box access to the system, meaning the adversary can provide any input to the system and get the soft class labels. Starting with the world class data, is it possible to launch a hill climbing attack and reach the client class?

Reference no: EM133695020

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