Papers with Code 아카이브
Text Anonymization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning Extrapolative Sequence Transformations from Markov Chains
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
Truthful Text Sanitization Guided by Inference Attacks
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization
Robust Utility-Preserving Text Anonymization Based on Large Language Models
Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study
Large Language Models are Advanced Anonymizers
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Bootstrapping Text Anonymization Models with Distant Supervision
The Limits of Word Level Differential Privacy
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.