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Retrieval-Augmented Generation Without Leaking the Corpus: Privacy Engineering for RAG Systems

RAG systems leak corpus content through vector reconstruction, prompt injection and metadata exposure. This guide covers privacy engineering patterns for secure retrieval-augmented generation.

Dr. Patrick Fisher, PhD · June 3, 2026
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State Privacy Law Fragmentation: What Engineers Actually Have to Build

US state privacy laws create real engineering complexity. Here is what your team must build for CCPA, CPRA, Virginia CDPA, Colorado CPA, and five more active state privacy laws.

Dr. Patrick Fisher, PhD · May 30, 2026
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Personal Data Asset Origination Systems and the Architecture of Digital Sovereignty

PDAOS establishes cryptographic origination control over personal data assets, addressing what access rights, property frameworks, data-labor and fiduciary models cannot.

Dr. Patrick Fisher, PhD · May 27, 2026
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Federated Learning's Trust Assumptions and the Curious Server Problem

Federated learning is not automatically private. This technical analysis covers gradient leakage attacks, secure aggregation protocols, differential privacy integration and honest-but-curious server threat modeling.

Dr. Patrick Fisher, PhD · May 23, 2026
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The NIST Privacy Framework as an Engineering Tool: Why Most Teams Leave It on the Shelf

The NIST Privacy Framework is a risk-mapping tool for engineers, not just compliance teams. Here is how to actually use it in 2026.

Dr. Patrick Fisher, PhD · May 20, 2026
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The Invisible Data: Why Personal Data Ownership Matters in the AI Era

AI systems harvest invisible personal data at industrial scale. Dr. Fisher's PDAOS framework explains what gets taken, why the asymmetry is accelerating, and how to fix it.

Dr. Patrick Fisher, PhD · May 16, 2026
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Differential Privacy: The Epsilon Problem in Public Deployments

A technical review of epsilon values in Apple, Google and Census Bureau differential privacy deployments, and why composition makes the problem worse than it appears.

Dr. Patrick Fisher, PhD · May 13, 2026
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Zero-Knowledge Proofs in Consumer Data Protection: From Cryptocurrency to Privacy Engineering

How zk-SNARKs and zk-STARKs move from cryptocurrency into consumer privacy engineering, enabling proof of age and income without raw data disclosure.

Dr. Patrick Fisher, PhD · May 9, 2026
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Consent Receipts and the Structural Failure of Click-Through Consent

Click-through consent produces compliance theater, not real agreements. Consent receipts per Kantara Initiative create verifiable, user-held records that actually hold.

Dr. Patrick Fisher, PhD · May 6, 2026
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Model Cards and the Inconsistency of LLM Training Data Disclosure: What Foundation Model Developers Actually Document

An audit of foundation model training data disclosures against the Mitchell et al. model card specification reveals a consistent gap between stated and actual practice.

Dr. Patrick Fisher, PhD · May 2, 2026
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Privacy-Preserving Record Linkage Across Institutional Boundaries: Cryptographic Protocols in Health Data Infrastructure

How hospitals and research institutions link patient records across boundaries using Bloom filters, HMAC tokenization and secure multiparty computation without pooling raw data.

Dr. Patrick Fisher, PhD · April 29, 2026
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Decentralized Identifiers and the Limits of Self-Sovereign Identity

Technical review of W3C DIDs and verifiable credentials examining what self-sovereign identity solves, key challenges around recovery and revocation, and why ION and Sovrin diverged.

Dr. Patrick Fisher, PhD · April 25, 2026
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Data Trusts as Governance Infrastructure for Collective Privacy in 2026

Data trusts create legally binding governance structures for collective privacy protection, moving beyond individual consent to enable community control over shared data assets through fiduciary relationships.

Dr. Patrick Fisher, PhD · April 22, 2026
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Data Poisoning and the Hidden Cost of Scraped Training Sets

Data poisoning attacks exploit scraped training sets to corrupt foundation models. Nightshade and Glaze demonstrate how adversarial perturbations threaten model integrity beyond copyright concerns.

Dr. Patrick Fisher, PhD · April 22, 2026
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Homomorphic Encryption at the Edge: Production Viability and Scheme Comparison in 2026

Homomorphic encryption reaches production viability in 2026. Compare CKKS, BFV, and BGV schemes across IBM HElib, Microsoft SEAL, and Zama frameworks for edge deployment.

Dr. Patrick Fisher, PhD · April 22, 2026
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