Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many modern machine learning applications involve sensitive correlated data, such private information on users connected together in a social network, and measurements of physical activity of a single user across time. Hover, the current standard of privacy in machine learning, differential privacy, cannot adequately address privacy issues in this kind of data. #R##N#This work looks at a recent generalization of differential privacy, called Pufferfish, that can be used to address privacy in correlated data. The main challenge in applying Pufferfish to correlated data problems is the lack of suitable mechanisms. ,  provide a general mechanism, called the Wasserstein Mechanism, which applies to any Pufferfish framework. Since the Wasserstein Mechanism may be computationally inefficient,  provide an additional mechanism, called Markov Quilt Mechanism, that applies to some practical cases such as physical activity measurements across time, and is computationally efficient.
['Yizhen Wang', 'Shuang Song', 'Kamalika Chaudhuri']
I am writing a research paper on a idea Privacy-preserving Analysis of Correlated Data
[{"from": "human", "value": "I am writing a research paper on a idea Privacy-preserving Analysis of Correlated Data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many modern machine learning applications involve sensitive correlated data, such private information on users connected together in a social network, and measurements of physical activity of a single user across time. Hover, the current standard of privacy in machine learning, differential privacy, cannot adequately address privacy issues in this kind of data. #R##N#This work looks at a recent generalization of differential privacy, called Pufferfish, that can be used to address privacy in correlated data. The main challenge in applying Pufferfish to correlated data problems is the lack of suitable mechanisms. ,  provide a general mechanism, called the Wasserstein Mechanism, which applies to any Pufferfish framework. Since the Wasserstein Mechanism may be computationally inefficient,  provide an additional mechanism, called Markov Quilt Mechanism, that applies to some practical cases such as physical activity measurements across time, and is computationally efficient."}]