Estimation of Treatment Effects from Combined Data: Identification versus Data Security

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Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting (2017, background): “[46] looked into partial disclosure scenarios, where an adversary is given fixed statistical estimates from combined public and private sources and attempts to infer the sensitive feature of an individual referenced in those sources.”
The Economics of Privacy (2016, background): “, 2010), not just for firms but also for researchers (Komarova et al., 2014).”
The Impact of Machine Learning on Economics (2018, background): “Some recent research has brought together the computer science literature with questions about estimating statistical models; see, e.g., Komarova et al. (2015).”
The Unintended Consequences of Overfitting: Training Data Inference Attacks (2017, background): “Komarova et al. [39] looked into partial disclosure scenarios, where an adversary is given ﬁxed statistical estimates from combined public and private sources, and attempts to infer the sensitive feature of an individual referenced in those sources.”