Text Anonymization

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (23 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Beyond Memorization: Violating Privacy Via Inference with Large Language Models
  11 Oct 2023 2 repositories listed Syntology ran 13 of 13 samples · 0 unverified · 1 pointer-only (licence)
  In this work, we present the first comprehensive study on the capabilities of pretrained LLMs to infer personal attributes from text.
• Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
  20 Nov 2022 2 repositories listed
  We create Hengam in the following concrete steps: (1) we develop HengamTagger, an extensible rule-based tool that can extract temporal expressions from a set of diverse language-specific patterns for any language of…
• The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
  25 Jan 2022 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods.
• AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
  26 Jun 2025 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  In today's digital world, casual user-generated content often contains subtle cues that may inadvertently expose sensitive personal attributes.
• Learning Extrapolative Sequence Transformations from Markov Chains
  26 May 2025 1 repository listed
  Specifically, our approach uses selected states from Markov chains as a source of training data for an autoregressive model, which is then able to efficiently generate novel sequences that extrapolate along the…
• Robust Utility-Preserving Text Anonymization Based on Large Language Models
  16 Jul 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  Text anonymization is crucial for sharing sensitive data while maintaining privacy.
• Large Language Models are Advanced Anonymizers
  21 Feb 2024 1 repository listed
  Recent privacy research on large language models (LLMs) has shown that they achieve near-human-level performance at inferring personal data from online texts.
• Bootstrapping Text Anonymization Models with Distant Supervision
  13 May 2022 1 repository listed
  Instead of requiring manually labeled training data, the approach relies on a knowledge graph expressing the background information assumed to be publicly available about various individuals.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.