This paper is in the following e-collection/theme issue:

#xHealthInformatics (13) AI Governance and Policy (2) Applications of AI (173) Machine Learning (1716) #xHealthEconomics (3) #xHealthSystemsandQualityImprovement (10) #xMedicalEthics (2) Ethics, Privacy, and Legal Issues (545)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2410.17459v1, first published .
Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection

Authors of this article:

Mahesh Vaijainthymala Krishnamoorthy1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Bommhardt T. Peer Review of “Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection”. JMIRx Med 2025;6:e72525 View
  2. Singh R. Peer Review of “Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection”. JMIRx Med 2025;6:e72523 View
  3. Vaijainthymala Krishnamoorthy M. Authors’ Response to Peer Reviews of “Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection”. JMIRx Med 2025;6:e72527 View