Correction: A Systematic Review of Re-Identification Attacks on Health Data
By K. El Emam, Elizabeth Jonker, Luk Arbuckle, Bradley A. Malin. 2015
148 citations recorded by the source corpus.
The following information is missing from the Competing Interests section: KEE is the founder of Privacy Analytics Inc.
Subfields: Artificial Intelligence, Health Information Management, Public Health, Environmental and Occupational Health, Privacy & Security, Medical & Health AI
How researchers see this paper
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In Artificial Intelligence
In Health Information Management
In Public Health, Environmental and Occupational Health
In Privacy & Security
In Medical & Health AI
- Jimeng Sun
- Edward Choi
- Walter F. Stewart
- Matt Fredrikson
- Samuel A. Assefa
- Mihaela van der Schaar
- Cao Xiao
- Fei Wang
Citations in the corpus
- Trustworthy AI: From Principles to Practices (2021, background): “Desirable data anonymization is expected to be immune from data de-anonymization or reidentification attacks that try to recover private information from anonymized data [111, 175].”
- Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (2017, background): “…of patients can be accomplished through residual distinguishable patterns in various features (e.g., demographics (Sweeney, 1997; El Emam et al., 2011a), diagnoses (Loukides et al., 2010), lab tests (Atreya et al., 2013), visits across healthcare providers (Malin and Sweeney,…”
- Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference (2019, background): “, a number of studies [9, 14, 36, 39, 44] have looked into membership attacks on statistics commonly published in genome-wide association studies.”