Papers with re-identification risks

1 papers
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions (2024.findings-naacl)

Copied to clipboard

Challenge: Despite high re-identification rates on Wikipedia, even the best LLMs struggled with court decisions.
Approach: They construct an anonymized Wikipedia dataset to investigate re-identification risks . they also introduce new metrics to measure performance .
Outcome: The proposed model can be used to identify individuals in court decisions, but it fails in the vast majority of cases.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations