Sensitive Data

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5 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Privacy Risks and ProtectionDifferential PrivacyPrivacy-Preserving FrameworkHomomorphic EncryptionHeuristic Privacy MetricsPrivacy-Utility Trade-OffsSecure Aggregation

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Sensitive Data.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Sensitive Data.

61 papers

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  1. Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology

    Sep 11, 2026Noman Sadiq, Mohsen TooraniElectroencephalogramPrivacy-Utility Trade-Offs

  2. Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2

    Sep 10, 2026William Novak, Muhammad AbusaqerMembership Inference AttacksText Classifier

  3. Topological Fraud Detection in Latent Transaction Spaces

    Sep 8, 2026Avraham BourlaFraud DetectionSensitive Data

  4. Mind the Gap: Robustness Risks in PII Detection Systems

    Sep 3, 2026Adeel Zafar, Slawomir NowaczykSensitive DataArtificial Intelligence Detection

  5. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware LearningMulticlass Classification

  6. Which LLM Is Your Ideal Companion? Evaluating Emotional Companion Capabilities of LLMs Based on Adult Attachment Theory

    Aug 13, 2026Junkai Zhou, Shiting Guan, Zhaoyi ZhangArtificial Intelligence CompanionsLarge Language Model Evaluation

  7. Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs

    Aug 13, 2026Saleh Almohaimeed, Saad Almohaimeed, Mousa Jari +2Retrieval-Augmented GenerationSensitive Data

  8. Beyond Direct Identifiers: Probabilistic Privacy Risk Estimation for Privacy-Conscious LLM Query Delegation

    Aug 10, 2026Li Siyan, Zhou Yu, Julia HirschbergHeuristic Privacy MetricsPrivacy Risks and Protection

  9. GRASP: Reinforcing Language Model Anonymizers with Group Relative Policy Optimization

    Aug 6, 2026Sajjad Ghiasvand, Nader SehatbakhshAnonymizationSensitive Data

  10. Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study

    Aug 4, 2026Qiming Bao, Sherry J. H. Feng, Kim Chester Eugenio +1AnonymizationSurrogates

  11. Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models

    Jul 23, 2026Yingchao Huang, Xin Wang, Yuhan Su +1AlzheimerMultimodal Learning

  12. Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

    Jul 21, 2026Ruth Amey, Muhammad Arifur Rahman, Taha Osman +4Non-Small Cell Lung CancerSensitive Data

  13. Using Fine-Tuned LLMs to Identify Indicators of Vulnerability in UK Police Incident Logs

    Jul 20, 2026Sam Relins, Daniel BirksPolicingVulnerable Code

  14. Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction

    Jul 9, 2026Hyunho Mo, Djura Smits, Mahlet A. Birhanu +4Cardiometabolic RiskSurvival Predictions

  15. Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models

    Jul 9, 2026Hugo García Cuesta, Pablo Mateo Torrejón, Alfonso Sánchez-MaciánPrivacy Risks and ProtectionSensitive Data

  16. Dual Attention Heads for Personalized Federated Learning in ECG Classification

    Jul 7, 2026Kien Le, Joseph Lindley, Quoc Bao Phan +1Electrocardiogram Image ClassificationDual-Arm

  17. Functional Bilevel Optimization for Predictive Fairness

    Jul 6, 2026Ieva Petrulionyte, Julien Mairal, Michael ArbelFairness-Aware LearningFairness

  18. CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

    Jul 1, 2026Xinyu Jia, Weidong Guo, Wangyuan Zhao +3Medical Image GenerationData Augmentation

  19. ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries

    Jun 30, 2026Abhishek DeyLarge Language Model RoutingCompliance

  20. DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information

    Jun 29, 2026Roland Roller, Vera Czehmann, Derya Erman +13Sensitive DataConversational Datasets

  21. Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy

    Jun 26, 2026Oscar Thees, Roman Müller, Matthias TemplRe-IdentificationSensitive Data

  22. Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents

    Jun 25, 2026Nada Lahjouji, Ashwin Gerard ColacoLarge Language Model AgentsPrivacy Risks and Protection

  23. Homomorphic Encryptions for Privacy Preserving Vision

    Jun 23, 2026Preey Shah, Rohan Virani, Sanjari SrivastavaHomomorphic EncryptionSensitive Data

  24. Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity

    Jun 23, 2026Yuanhe Zhao, Tianyu Zhang, Huafei Xing +3Retrieval-Augmented GenerationPrivacy Risks and Protection

  25. REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection

    Jun 18, 2026Guneesh Vats, Anubha Agrawal, Shikha Singhal +5Sensitive DataMultilingual Benchmark

  26. Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    Jun 12, 2026Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1Quantum AlgorithmsQuantum Federated Learning

  27. A Privacy-Preserving Framework Using Remote Data Science for Inter-Institutional Student Retention Prediction

    Jun 11, 2026John Fields, K M Sajjadul Islam, Ruchitha Thota +2Privacy-Preserving FrameworkSensitive Data

  28. Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models

    Jun 10, 2026Rei Minamoto, Yusuke Oda, Daisuke KawaharaSensitive DataPrivacy Risks and Protection

  29. Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges

    Jun 8, 2026Tiejin Chen, Pingzhi Li, Kaixiong Zhou +2Large Multimodal ModelsLarge Language Model Safety

  30. InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization

    Jun 4, 2026Xueyang Wu, Siyuan Liu, Kezhuo Yang +1DepressionSensitive Data

  31. FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems

    Jun 2, 2026Maxime Schwarzer, Laurin Holz, Tobias Huerten +4Intrusion DetectionGuard

  32. Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models

    Jun 2, 2026Farhan Sheth, Ziyuan Yang, Yongying Lan +1Sensitive DataLarge Language Model Safety

  33. LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback

    May 28, 2026Jiwon Kim, Maya Ajit, Sherry Gong +4Mental HealthSensitive Data

  34. Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization

    May 26, 2026Weixin Liu, Bowen Qu, Juming Xiong +3SummarizationSensitive Data

  35. Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa

    May 25, 2026Pritesh JhaSensitive DataModernbert

  36. Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Dermatologic Disease: Implementation in Pemphigus Patients

    May 24, 2026Abdurrahim Yilmaz, Ayşe Esra Koku Aksu, Duygu Yamen +5Longitudinal Patient RecordsLongitudinal Data

  37. Building a privacy-preserving Federated Recommender system for mobile devices

    May 21, 2026Aasheesh SinghRecommender SystemsPrivacy Risks and Protection

  38. An exponential mechanism based on quadratic approximations for fine-tuning machine learning models with privacy guarantees

    May 19, 2026Hoang Tran, Jorge Ramirez, Jiayi Wang +3Differential PrivacyFinetuning

  39. Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies

    May 19, 2026Yasmine HayderKnowledge Graph EmbeddingsKnowledge Graphs

  40. Evaluating the Utility of Personal Health Records in Personalized Health AI

    May 18, 2026Rory Sayres, Kejia Chen, Ayush Jain +19Electronic Health RecordsClinical Decision

  41. Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets

    May 18, 2026Nitish Nagesh, Pengbao Zhou, Atchuth Naveen Chilaparasetti +8Synthetic DataReal-World Clinical Dataset

  42. Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation

    May 16, 2026Osama Zafar, Alexander Nemecek, Yiqian Zhang +5Sensitive DataPrivacy Risks and Protection

  43. ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models

    May 16, 2026Yujie Lin, Chengyi Yang, Zhishang Xiang +2Large Language Model UnlearningMachine Unlearning

  44. How Sensitive Are Radiomic AI Models to Acquisition Parameters?

    May 14, 2026D. Gil, I. Sanchez, C. SanchezRadiomicsComputed Tomography

  45. Reconstruction of Personally Identifiable Information from Supervised Finetuned Models

    May 12, 2026Sae Furukawa, Alina OpreaSensitive DataSupervised Fine-Tuning

  46. GLiNER2-PII: A Multilingual Model for Personally Identifiable Information Extraction

    May 11, 2026Urchade Zaratiana, Ash Lewis, George Hurn-MaloneySensitive DataNamed-Entity Recognition

  47. Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs

    May 7, 2026Thomas Cory, Axel KüpperSensitive DataHuman Annotations

  48. From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists

    May 6, 2026Stefano Cecconello, Mauro Conti, Luca Pajola +2Membership Inference AttacksSensitive Data

  49. Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks

    May 5, 2026JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3Large Language Model UnlearningUnlearning Aims

  50. PIIGuard: Mitigating PII Harvesting under Adversarial Sanitization

    May 4, 2026Mingshuo Liu, Yiwei Zha, Min ChenSensitive DataLanguage Model Evasion Attacks

  51. Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

    Apr 30, 2026Gaurang Sharma, Juha Pajula, Aada Illikainen +4Differential PrivacyHomomorphic Encryption

  52. How Sensitive Are Safety Benchmarks to Judge Configuration Choices?

    Apr 27, 2026Xinran ZhangSafety BenchmarksLarge Language Model Safety

  53. Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

    Apr 25, 2026Alexandre Marques, Beatriz Sá, Rui Botelho +1Homomorphic EncryptionPrivacy-Preserving Framework

  54. PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store

    Apr 24, 2026Bhanuka Silva, Anirban Mahanti, Aruna Seneviratne +1Privacy Risks and ProtectionProgressive Disclosure

  55. From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation

    Apr 23, 2026Minh Duc Bui, Xenia Heilmann, Mattia Cerrato +2Large Language Model BiasAI Code Generation

  56. Subject-level Inference for Realistic Text Anonymization Evaluation

    Apr 23, 2026Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh +6AnonymizationSensitive Data

  57. Fairness Constraints in High-Dimensional Generalized Linear Models

    Apr 17, 2026Yixiao Lin, James BoothFairness-Aware LearningFairness

  58. PIIBench: A Unified Multi-Source Benchmark Corpus for Personally Identifiable Information Detection

    Apr 17, 2026Pritesh JhaSensitive DataNamed-Entity Recognition

  59. CAMP: Cumulative Agentic Masking and Pruning for Privacy Protection in Multi-Turn LLM Conversations

    Apr 16, 2026Aman PanjwaniHeuristic Privacy MetricsPrivacy Risks and Protection

  60. Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering

    Apr 13, 2026Vladimir StantchevPayment NetworksSensitive Data