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In this paper, we present a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning. We use ...
In this paper, we present a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning. We use this framework ...
In this paper, we present a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning. We use this framework to ( ...
A game-based framework is presented to systematize the body of knowledge on privacy inference risks in machine learning to provide a unifying structure for ...
Dec 21, 2022 · PDF | Deploying machine learning models in production may allow adversaries to infer sensitive information about training data.
May 26, 2023 · Our paper on the use of cryptographic-style games to model inference privacy is published in IEEE Symposium on Security and Privacy (Oakland):.
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Dec 2, 2023 · [Show full abstract] time, neural networks are the dominant machine learning model for unstructured data.In this work we show how to construct ...
This course aims to teach learners about data inference privacy in machine learning. The learning outcomes include understanding the concept of data ...
An SoK that presents a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning.