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PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps

PubMed(2024)10.1145/3658644.3690279Source: DataRank Database

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (13 grants)Impact (FWCI 3.49)OA: goldTopics (23)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Tianhao Wang ORCID,Yang Cao ORCID,Li Xiong ORCID,Ruixuan Liu ORCID

Live enrichment

PubMed:40401199 PMC:PMC12094715 OpenAlex:https://openalex.org/W4405181470

JSPS KAKENHI

Grant: JP23K24851

NSF

Grant: CNS-2125530, CNS-2124104, IIS-2302968, CNS-2350333

JST PRESTO

Grant: JPMJPR23P5

NIH

Grant: R01LM013712, R01ES033241

JST CREST

Grant: JPMJCR21M2

NLM NIH HHS

Grant: R01 LM013712

NIEHS NIH HHS

Grant: R01 ES033241

National Science Foundation

Grant: 2124104

Collaborative Research: SaTC: CORE: Medium: PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data

National Science Foundation

Grant: 2302968

Collaborative Research: NSF-CSIRO: HCC: Small: Understanding Bias in AI Models for the Prediction of Infectious Disease Spread

National Science Foundation

Grant: 2125530

SCC-IRG JST: Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis

National Science Foundation

Grant: 2350333

Collaborative Research: SaTC: CORE: Small: Security and Privacy in Machine Unlearning

National Institutes of Health

Grant: 5R01LM013712-08

Decentralized differentially-private methods for dynamic data release and analysis

National Institutes of Health

Grant: 5R01ES033241-03

Sensor Hardware and Intelligent Tools for Assessing the Health Effects of Heat Exposure

FWCI

3.49

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3658644.3690279

publisherhttps://dl.acm.org/doi/10.1145/3658644.3690279

https://doi.org/10.1145/3658644.3690279

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40401199

Fields of Study

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer sciencePublicationInferenceLanguage modelUploadPrivate information retrievalFine-tuningIntuitionMachine learningArtificial intelligenceComputer securityWorld Wide WebPre-trainingPrivacy AttackFOS: Computer and information sciencesComputer Science - Cryptography and SecurityCryptography and Security (cs.CR)Article