Co-occurring keywords · papers mentioning both
Papers
Multi-Token Completion for Text Anonymization
EACL 2026
Subject-level Inference for Realistic Text Anonymization Evaluation
ACL 2026
Controlled Generation for Private Synthetic Text
EMNLP 2025
How do we measure privacy in text? A survey of text anonymization metrics
IJCNLP 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
IJCNLP 2025
Language Models are Advanced Anonymizers
ICLR 2025
PetEVAL: A veterinary free text electronic health records benchmark
ACL 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models
COLING 2025
Robust Utility-Preserving Text Anonymization Based on Large Language Models
ACL 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
EMNLP 2025
Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search
EMNLP 2025
Beyond Memorization: Violating Privacy via Inference with Large Language Models
ICLR 2024
Building a corpus for the anonymization of Romanian jurisprudence
EACL 2024
Detecting Personal Identifiable Information in Swedish Learner Essays
EACL 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
EMNLP 2024
MaintNorm: A corpus and benchmark model for lexical normalisation and masking of industrial maintenance short text
EACL 2024
Automatic Anonymization of Swiss Federal Supreme Court Rulings
EMNLP 2023
Clinical Text Anonymization, its Influence on Downstream NLP Tasks and the Risk of Re-Identification
EACL 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
ACL 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
EMNLP 2023
The Limits of Word Level Differential Privacy
NAACL 2022
Towards Privacy by Design in Learner Corpora Research: A Case of On-the-fly Pseudonymization of Swedish Learner Essays
COLING 2020
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
EMNLP 2019
How to Build User Simulators to Train RL-based Dialog Systems
EMNLP 2019