Papers with PII identification

2 papers
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking (2025.findings-acl)

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Challenge: Existing privacy attacks focus on membership inference or data extraction, but reconstructing specific personally identifiable information (PII) in training data remains challenging.
Approach: They propose a two-step privacy stealing attack that enables attackers to reconstruct PII entities from scrubbed training data where the PI I entities have been masked.
Outcome: The proposed attack can reconstruct PII entities from scrubbed training data where the PI I entities have been masked.
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues (2025.emnlp-main)

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Challenge: Understanding and improving affective learning strategies continues to be one of computing's primary contributions to education research.
Approach: They propose a framework for PII anonymization that leverages knowledge of the data context to simplify the PI I detection problem.
Outcome: The proposed framework simplifies the detection problem by leveraging knowledge of the data context.

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