Summary of Data Obfuscation Through Latent Space Projection (lsp) For Privacy-preserving Ai Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection, by Mahesh Vaijainthymala Krishnamoorthy
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection
by Mahesh Vaijainthymala Krishnamoorthy
First submitted to arxiv on: 22 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces Data Obfuscation through Latent Space Projection (LSP), a novel technique for ensuring Responsible AI compliance. LSP uses machine learning to project sensitive data into a lower-dimensional form, achieving a balance between data utility and privacy. The method leverages autoencoders and adversarial training to separate sensitive from non-sensitive information, allowing for precise control over privacy-utility trade-offs. Experiments on benchmark datasets and real-world case studies demonstrate LSP’s effectiveness in preserving high performance (98.7% accuracy) while providing strong privacy (97.3% protection). The paper also examines LSP’s alignment with global AI governance frameworks, highlighting its contribution to fairness, transparency, and accountability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make sure that artificial intelligence systems are private and fair. It introduces a new way to do this called Data Obfuscation through Latent Space Projection (LSP). LSP takes sensitive information and changes it so it’s hard to understand without losing its usefulness. This is different from other methods that try to keep data private. The researchers tested LSP on some big datasets and real-world problems, and it worked really well. |
Keywords
» Artificial intelligence » Alignment » Latent space » Machine learning
