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BApplying Deep Personal Privacy (DPP An Empirical Framework for Inference Resistance in Large Language Models

Yair Oppenheim

This paper introduces an empirical extension of the Deep Personal Privacy (DPP) framework, a novel paradigm that reconceptualizes privacy as resistance to inference rather than mere control over data ...

Research Square 2026-04-21 rs-9456245
Deep Personal Privacy (DPP) Inference-Based Privacy Privacy Impedance Inference Resistance Large Language Models (LLMs) Semantic Alignment Cosine Similarity Embedding Perturbation Dual Shifting Transformation Epistemic Privacy Privacy Engineering GDPR EU AI Act
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