De-identification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 54 papers with code (174 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.

• Ego4D: Around the World in 3,000 Hours of Egocentric Video
  13 Oct 2021 8 repositories listed Syntology ran 4 of 15 samples · 11 unverified · 2 pointer-only (licence)
  We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
• Face Identity Disentanglement via Latent Space Mapping
  15 May 2020 3 repositories listed
  Learning disentangled representations of data is a fundamental problem in artificial intelligence.
• Synthesis of Realistic ECG using Generative Adversarial Networks
  19 Sep 2019 3 repositories listed
  Finally, we discuss the privacy concerns associated with sharing synthetic data produced by GANs and test their ability to withstand a simple membership inference attack.
• Publicly Available Clinical BERT Embeddings
  6 Apr 2019 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Contextual word embedding models such as ELMo (Peters et al., 2018) and BERT (Devlin et al., 2018) have dramatically improved performance for many natural language processing (NLP) tasks in recent months.
• De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
  16 Oct 2024 2 repositories listed
  Medical data employed in research frequently comprises sensitive patient health information (PHI), which is subject to rigorous legal frameworks such as the General Data Protection Regulation (GDPR) or the Health…
• EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
  2 Jun 2024 2 repositories listed
  To make medical datasets accessible without sharing sensitive patient information, we introduce a novel end-to-end approach for generative de-identification of dynamic medical imaging data.
• 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.
• Speech Pseudonymisation Assessment Using Voice Similarity Matrices
  30 Aug 2020 2 repositories listed
  The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications.
• Enhancing Clinical Models with Pseudo Data for De-identification
  15 Jun 2025 1 repository listed
  Many models are pretrained on redacted text for privacy reasons.
• Zero-shot generation of synthetic neurosurgical data with large language models
  13 Feb 2025 1 repository listed
  Synthetic datasets were compared to real-world neurosurgical data to assess fidelity (means, proportions, distributions, and bivariate correlations), utility (ML classifier performance on RWD), and privacy (duplication…
• The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation
  11 Feb 2025 1 repository listed
  This study presents the first systematic attempt to identify prompts and text tokens in MIMIC-CXR that contribute the most to training data memorization.
• SVIA: A Street View Image Anonymization Framework for Self-Driving Applications
  16 Jan 2025 1 repository listed
  In recent years, there has been an increasing interest in image anonymization, particularly focusing on the de-identification of faces and individuals.
• Enhancing the De-identification of Personally Identifiable Information in Educational Data
  14 Jan 2025 1 repository listed
  Our evaluation on two public datasets, CRAPII and TSCC, demonstrates that the fine-tuned GPT-4o-mini model achieves superior performance, with a recall of 0.
• Medical Manifestation-Aware De-Identification
  14 Dec 2024 1 repository listed
  Face de-identification (DeID) has been widely studied for common scenes, but remains under-researched for medical scenes, mostly due to the lack of large-scale patient face datasets.
• In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages
  10 Nov 2024 1 repository listed
  We believe this work provides a path forward for (i) the release of large-scale synthetic patient message datasets that are stylistically similar to ground-truth samples and (ii) HIPAA-friendly data generation which…
• Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance
  24 Oct 2024 1 repository listed
  We evaluated the approaches on publicly available privacy and VAD data sets to examine the strengths and weaknesses of the different anonymization techniques and highlight the promising efficacy of our approach.
• DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data
  2 Oct 2024 1 repository listed
  De-identification is important in protecting patients' privacy for healthcare text analytics.
• Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
  15 Sep 2024 1 repository listed
  The system preserves critical medical information while introducing diversity in the generations and minimising re-identification risk.
• Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
  8 Jul 2024 1 repository listed
  The consequences of a healthcare data breach can be devastating for the patients, providers, and payers.
• Automated Privacy-Preserving Techniques via Meta-Learning
  24 Jun 2024 1 repository listed
  Many privacy-preserving techniques have been proposed for this task aiming to transform the data while ensuring the privacy of individuals.
• CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
  29 May 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  To address this, CheXpert Plus serves as a new collection of radiology data sources, made publicly available to enhance the scaling, performance, robustness, and fairness of models for all subsequent machine learning…
• Computational Job Market Analysis with Natural Language Processing
  29 Apr 2024 1 repository listed
  [Abridged Abstract] Recent technological advances underscore labor market dynamics, yielding significant consequences for employment prospects and increasing job vacancy data across platforms and languages.
• RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos
  15 Mar 2024 1 repository listed
  Face de-identification in videos is a challenging task in the domain of computer vision, primarily used in privacy-preserving applications.
• A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech
  28 Feb 2024 1 repository listed
  On the DAIC-WOZ dataset with ComparE16 features and an LSTM-only model, our method achieves an F1-Score of 0.
• Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models
  23 Oct 2023 1 repository listed Syntology ran 7 of 11 samples · 4 unverified · 11 pointer-only (licence)
  The proposed diffusion-model-based method can reliably and efficiently generate synthetic EHR time series, which facilitates the downstream medical data analysis.
• Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
  26 May 2023 1 repository listed
  To evaluate the performance of the proposed de-identification tool, a comparative study was conducted between several existing defacing and refacing tools, with two different segmentation algorithms (FAST and Morphobox).
• ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
  20 May 2023 1 repository listed
  The increasing number of benchmarks for Natural Language Processing (NLP) tasks in the computational job market domain highlights the demand for methods that can handle job-related tasks such as skill extraction, skill…
• In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
  18 May 2023 1 repository listed
  Data sharing is crucial for open science and reproducible research, but the legal sharing of clinical data requires the removal of protected health information from electronic health records.
• k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
  20 Mar 2023 1 repository listed
  While prior works have explored image de-identification strategies based on synthetic averaging of images in other domains (e.
• DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
  20 Mar 2023 1 repository listed
  The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy.

Syntology lines on 5 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.