Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis-Reference-Cited by-同舟云学术

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Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:35th International Conference on Scientific and Statistical Database Management
language:
Short-container-title:

Author:

Zhou Lixi¹^ORCID,Yu Lei²^ORCID,Zou Jia¹^ORCID,Min Hong³^ORCID

Affiliation:

1. Arizona State University, USA

2. Rensselaer Polytechnic Institute, USA

3. IBM Thomas J. Watson Research Center, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603719.3603734

Reference19 articles.

1. [n. d.]. Amazon Macie - Sensitive Data Discovery. https://aws.amazon.com/macie. [n. d.]. Amazon Macie - Sensitive Data Discovery. https://aws.amazon.com/macie.

2. [n. d.]. Customer Segmentation Workloads. https://www.tpc.org/tpcx-ai. [n. d.]. Customer Segmentation Workloads. https://www.tpc.org/tpcx-ai.

3. [n. d.]. Fraud Detection Workloads. https://www.tpc.org/tpcx-ai. [n. d.]. Fraud Detection Workloads. https://www.tpc.org/tpcx-ai.

4. [n. d.]. Google Cloud Data Loss Prevention. https://cloud.google.com/dlp. [n. d.]. Google Cloud Data Loss Prevention. https://cloud.google.com/dlp.

5. [n. d.]. Microsoft Presidio. https://github.com/microsoft/presidio. [n. d.]. Microsoft Presidio. https://github.com/microsoft/presidio.

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