PII Detection

PII: Personally Identifiable Information

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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Latest papers 24

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TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes
Oct 5, 2026Jose D. Posada, Somalee Datta, Priya DesaiPII Detection
Technology & Digital Solutions, Stanford Medicine, Stanford, CA, USA
Strong Multilingual Privacy Tagging at Encoder Speed
Sep 29, 2026Jonathan GraehlNamed Entity Recognition Multilingual Language Models
RWS Language Weaver
The Text Beside the Image: Detection, Utility and Leakage for Trustworthy Multimodal Medical Data and Beyond
Sep 27, 2026Andreas Maier, Monica Hinrichs-Mayer, Franziska Weber +4Privacy Auditing PII Detection
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Universitätsklinikum Erlangen, Germany +1
ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction
Sep 24, 2026Sudha Priyadarshini, Mohamed Chahine GhanemPrivacy-Preserving Language Models LLM Agents
University of Liverpool, UK · Keele University, UK
Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification
Sep 11, 2026Linh Uyen Le, Ho Dinh Tri, Christian Hoang +1Synthetic Data Generation Clinical Information Extraction
Meddies AI, Vietnam
MedDeID enables locally governed clinical-text de-identification from real or synthetic training data
Sep 9, 2026Stig Hellemans, Tom Stroobants, Elyne Scheurwegs +3Clinical NLP PII Detection
Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium · Antwerp University Hospital (UZA), Edegem, Belgium · Laboratory of Experimental Medicine and Pediatrics (LEMP), University of Antwerp, Antwerp, Belgium
Mind the Gap: Robustness Risks in PII Detection Systems
Sep 3, 2026Adeel Zafar, Slawomir NowaczykDistribution Shift Robustness PII Detection
Center for Applied Intelligent Systems Research, Halmstad University, Sweden
LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images
Sep 2, 2026Vishnu Prasad Vijaya Kumar, Santhosh Venkatesh, Ivan P. YamshchikovPII Detection Data Leakage
Center for Artificial Intelligence and Robotics (CAIRO), Technical University of Applied Sciences Würzburg-Schweinfurt (THWS), Würzburg, Germany · DataX, Frankfurt am Main, Germany
Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study
Aug 4, 2026Qiming Bao, Sherry J. H. Feng, Kim Chester Eugenio +1Privacy Auditing PII Detection
Custodian Labs
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
Jun 29, 2026Roland Roller, Vera Czehmann, Derya Erman +13PII Detection
German Research Center for Artificial Intelligence (DFKI), Berlin, Germany. · Technical University Berlin, Berlin, Germany. · Berlin Institute of Health (BIH), Berlin, Germany. +4
SurrogateShield: Beyond Redaction for High-Utility, Privacy-Preserving LLM Interactions
Jun 28, 2026Sherwin Vishesh JathannaPrivacy-Preserving Language Models LLM Security
Arizona State University Tempe, Arizona, USA
REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection
Jun 18, 2026Guneesh Vats, Anubha Agrawal, Shikha Singhal +5Privacy Auditing PII Detection
ServiceNow
RedactionBench
Jun 17, 2026Sean Brynjólfsson, Shashvat Jayakrishnan, Esha Sali +2LLM Evaluation Contextual Integrity
A10 Networks, Inc.
Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification
Jun 16, 2026Haocheng Zhang, Zhuqian Zhou, Kirk Vanacore +2AI in Education Privacy-Preserving ML
Cornell University, Ithaca, NY, USA
Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models
Jun 10, 2026Rei Minamoto, Yusuke Oda, Daisuke KawaharaLegal NLP Privacy-Preserving Language Models
Waseda University · Research and Development Center for LLMs, National Institute of Informatics
Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa
May 25, 2026Pritesh JhaFine-Tuning PII Detection
Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
May 16, 2026Osama Zafar, Alexander Nemecek, Yiqian Zhang +5Data Leakage RAG Security
Dept. of Computer and Data Sciences Case Western Reserve University Cleveland, USA
GLiNER2-PII: A Multilingual Model for Personally Identifiable Information Extraction
May 11, 2026Urchade Zaratiana, Ash Lewis, George Hurn-MaloneyNamed Entity Recognition Document Information Extraction
Fastino Labs
The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment
May 8, 2026William Brach, Federico Torrielli, Stine Lyngsø Beltoft +3Privacy Leakage in Language Models Multi-Agent Systems
University of Turin Dept. of Computer Science Torino, Italy · University of Southern Denmark Odense, Denmark
Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs
May 7, 2026Thomas Cory, Axel KüpperPrivacy Auditing LLM-Assisted Annotation
Technische Universität Berlin
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
May 5, 2026Jose D. Posada, David Love, Somalee Datta +1Healthcare Clinical Information Extraction
Technology & Digital Solutions Stanford Medicine · Stanford Medicine
PIIBench: A Unified Multi-Source Benchmark Corpus for Personally Identifiable Information Detection
Apr 17, 2026Pritesh JhaNamed Entity Recognition PII Detection
Independent Researcher
Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering
Apr 13, 2026Vladimir StantchevAI Agent Security Safety Filtering
SRH University Heidelberg, Germany · PRESIDIO Group, Sofia, Bulgaria
BodhiPromptShield: Pre-Inference Prompt Mediation for Surface-Form Privacy Propagation in LLM Agent Pipelines
Date pendingBo Ma, Jinsong Wu, Weiqi YanData Leakage Privacy-Preserving Language Models
Auckland University of Technology Auckland, New Zealand · Guilin University of Electronic Technology Guilin, China

Oct 5, 2026, cs.CLJ/K move · Enter open · S save

TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes

Jose D. Posada, Somalee Datta, Priya Desai

Technology & Digital Solutions, Stanford Medicine, Stanford, CA, USA

PII Detection

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Clinical notes capture most of what is documented about a patient's care, but they cannot be used for research until protected health information (PHI) is removed. De-identification is often treated as a detection problem. Detection alone is not sufficient: redaction strips clinical content along with identifiers, date blanking destroys the temporal intervals needed for longitudinal analysis, and assigning a fresh random surrogate at each occurrence breaks links between a patient's notes. We present TIDE 2.0, an MIT-licensed engine with two separable stages: an interchangeable recognizer and a keyed anonymizer. Both run on hardware the institution owns. Surrogates are generated cryptographically with no stored linkage table. Dates shift by a per-patient, interval-preserving offset; each value receives the same surrogate across all occurrences under a given key; and a release produced under a new key cannot be linked to earlier releases. We also release TIDE2-Sentry, a recognizer distilled from a large language model. On two gold-annotated corpora from two institutions, the default configuration reached span-level recall of 0.88 in-domain and 0.77 on the second institution's corpus, at precision 0.88 and 0.87. We report recall and precision per category alongside these aggregates. The engine is open source, and the recognizer is available under a gated research-use agreement, so institutions can run, inspect and extend both within their own environments.

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