Privacy Auditing

Momentum

8 papers in the last four weeks, up 60% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 58

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  1. Privacy in Personalized AI Is a System Property, Not Just a Model Property

    Sep 29, 2026Guillaume Salha-Galvan, Jiaying XuPrivacy Auditing

  2. 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 AuditingPII Detection

  3. Empirical Auditing of Edge-Private Graph Generators

    Sep 21, 2026Anum Fatima, Stratis Limnios, James Adams +4Privacy AuditingEdge Inference

  4. ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions

    Sep 16, 2026Guosen Wu, Huizhen Huang, Guoxiong Long +2Privacy AuditingLLM Agent Evaluation

  5. Beyond EER: Multi-Dimensional Evaluation of Information Leakage in Speaker De-Identification

    Sep 16, 2026Seungmin Seo, Oleg Aulov, P. Jonathon Phillips +2Privacy AuditingBiometric Identification

  6. GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

    Sep 14, 2026Ahmed Sohair Khan, Estrid He, Chenglong Ma +2Privacy AuditingPrivacy Leakage in Language Models

  7. Predicting Privacy Leakage from Weight Spectral Density

    Sep 10, 2026Richard J. Preen, Jim SmithPrivacy AuditingMembership Inference Attacks

  8. Subgroup Membership Inference Audits of Differentially Private Synthetic Text

    Sep 9, 2026Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +2Privacy AuditingMembership Inference Attacks

  9. Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++

    Sep 3, 2026Antonio Scardace, Francesco Guarnera, Sebastiano Battiato +1Privacy AuditingMemorization in Generative Models

  10. Privacy Washing: Detecting Internal Contradictions in Privacy Policies

    Sep 2, 2026Thomas BrackinPrivacy Auditing

  11. Position: Privacy Is a Claim, Not a Property of Synthetic Data

    Sep 1, 2026Jiachen Zhao, Antonia Januszewicz, Taeho JungPrivacy AuditingPrivacy-Preserving ML

  12. MultiGait: A Multi-Sensor Multi-Perspective Multi-Session Biometric Inference Benchmark and its Dataset

    Sep 1, 2026Julian Todt, Felix Morsbach, Philip Dissert +1Privacy AuditingBiometric Identification

  13. Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces

    Aug 31, 2026Rahul Vimalkanth, Kaushik MitraPrivacy AuditingGaze Estimation

  14. Protecting patient privacy in clinical foundation models: Technical and legal perspectives

    Aug 7, 2026Sana Tonekaboni, Lena Stempfle, Sasha Ronaghi +4Privacy AuditingPrivacy Leakage in Language Models

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

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

  16. Secrets Everywhere: Auditing Memorization in Mobility Prediction Models

    Aug 3, 2026Anne Josiane Kouam, Hristo Boyadzhiev, Konrad RieckPrivacy AuditingHuman Behavior Prediction

  17. Enabling Multilingual Privacy Policy Audits: Large-Scale Analysis of Spanish Mobile Apps

    Jul 20, 2026Marcos Moran, David Rodriguez, Luka Nenadic +2Privacy AuditingMultilingual Language Model Evaluation

  18. A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs

    Jul 19, 2026Madhav Aryal, Sudipa Saha, Sunil Manandhar +2Privacy AuditingLLM Evaluation

  19. Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms

    Jul 16, 2026Umid Suleymanov, Ilhama Novruzova, Khalid Mammadov +2Privacy AuditingMembership Inference Attacks

  20. Plausible Deniability Guarantees for Whistleblowers

    Jul 15, 2026Leo Richter, Matt J. KusnerPrivacy AuditingDifferential Privacy

  21. ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents

    Jun 26, 2026Shijing Hu, Liang Liu, Zhu Meng +1Privacy AuditingTool-Use Evaluation

  22. Natural Identifiers for Privacy and Data Audits in Large Language Models

    Jun 23, 2026Lorenzo Rossi, Bartłomiej Marek, Franziska Boenisch +1Privacy AuditingLLM Auditing

  23. Phantoms and Disclosures: a Causal Framework for Auditing Synthetic Data

    Jun 15, 2026Kareem Amin, Rudrajit Das, Alessandro Epasto +4Privacy AuditingMembership Inference Attacks

  24. Causal-Privacy Audit Workflow for Synthetic and Distilled Data in Dropout Support

    Jun 14, 2026Hanghang Zheng, Xiwei Zhuang, Zhong Wang +4Privacy AuditingCausal Effect Estimation

  25. Behavioral Audit of Machine Unlearning Has a Privacy Cost

    Jun 12, 2026Liou Tang, James Joshi, Ashish KunduPrivacy AuditingMachine Unlearning

  26. Let's Ask Gauss: Improved One-Run Privacy Auditing

    Jun 10, 2026Adya Agrawal, Yu Wei, Jaspal Singh +2Privacy AuditingDifferentially Private Stochastic Gradient Descent

  27. Advancing the State-of-the-Art in Empirical Privacy Auditing

    Jun 9, 2026Nicole Mitchell, Galen Andrew, Arun Ganesh +2Data LeakagePrivacy Auditing