A Case Study on the Impact of Anonymization Along the RAG Pipeline
Andreea-Elena Bodea, Stephen Meisenbacher, Florian Matthes
TLDR
This paper investigates how the placement of anonymization within the RAG pipeline affects privacy-utility trade-offs, comparing dataset vs. answer anonymization.
Key contributions
- Addresses the overlooked question of where to apply anonymization in RAG pipelines.
- Empirically measures anonymization impact at the dataset and generated answer stages.
- Demonstrates varying privacy-utility trade-offs based on anonymization placement.
- Emphasizes the critical role of anonymization placement for RAG privacy risk mitigation.
Why it matters
RAG systems face significant privacy concerns, especially with sensitive data. This paper provides crucial insights into optimizing anonymization strategies by showing that placement within the pipeline significantly impacts privacy-utility trade-offs. This helps RAG administrators make informed decisions for better privacy risk mitigation.
Original Abstract
Despite the considerable promise of Retrieval-Augmented Generation (RAG), many real-world use cases may create privacy concerns, where the purported utility of RAG-enabled insights comes at the risk of exposing private information to either the LLM or the end user requesting the response. As a potential mitigation, using anonymization techniques to remove personally identifiable information (PII) and other sensitive markers in the underlying data represents a practical and sensible course of action for RAG administrators. Despite a wealth of literature on the topic, no works consider the placement of anonymization along the RAG pipeline, i.e., asking the question, where should anonymization happen? In this case study, we systematically and empirically measure the impact of anonymization at two important points along the RAG pipeline: the dataset and generated answer. We show that differences in privacy-utility trade-offs can be observed depending on where anonymization took place, demonstrating the significance of privacy risk mitigation placement in RAG.
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