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Text Anonymization

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Showing 1–23 of 23 papers

TitleStatusHype
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated TextCode0
Learning Extrapolative Sequence Transformations from Markov ChainsCode0
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court—0
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi—0
Truthful Text Sanitization Guided by Inference Attacks—0
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization—0
Robust Utility-Preserving Text Anonymization Based on Large Language ModelsCode1
Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction—0
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization—0
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study—0
Large Language Models are Advanced AnonymizersCode1
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis—0
Beyond Memorization: Violating Privacy Via Inference with Large Language ModelsCode1
Hengam: An Adversarially Trained Transformer for Persian Temporal TaggingCode1
Bootstrapping Text Anonymization Models with Distant SupervisionCode0
The Limits of Word Level Differential Privacy—0
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text AnonymizationCode1
Bootstrapping Text Anonymization Models with Distant Supervision—0
Few-shot Controllable Style Transfer for Low-Resource Multilinugal Settings—0
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings—0
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization—0
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference—0
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining—0
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