Privacy-Preserving ML

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26 papers in the last four weeks, up 63% on the four weeks before. 0.3% of all new papers.

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

    Sep 10, 2026William Novak, Muhammad AbusaqerMembership Inference AttacksPrivacy-Preserving ML

    Minot State University · Department of Math, Data & Technology Minot State University Minot, ND, 58707

  2. Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

    Sep 8, 2026Ali Backour, Juan Reyes, Jaime Punyed +1Efficient InferenceSelective Inference

    Massachusetts Institute of Technology Cambridge, MA 02139

  3. Topological Fraud Detection in Latent Transaction Spaces

    Sep 8, 2026Avraham BourlaFinancial Fraud DetectionPrivacy-Preserving ML

  4. Shadow Queries for Private Retrieval in Vector Databases

    Sep 7, 2026Xinguo Feng, Zhongkui Ma, Zihan Wang +4Privacy-Preserving MLInformation Retrieval

    The University of Queensland, Brisbane, Australia · City University of Hong Kong, Hong Kong · CSIRO’s Data 61, Sydney, Australia

  5. Seeing Less Is Not Seeing Safely: Privacy Leakage from Task-Scoped Robot Perception Exports

    Sep 2, 2026Yuqiao Xu, Erman AydayPrivacy-Preserving MLRobotic Perception

    Department of Computer and Data Sciences Case Western Reserve University Cleveland, OH, USA

  6. HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation

    Sep 1, 2026Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2Privacy-Preserving Language ModelsHomomorphic Encryption

    Sapienza University of Rome · George Mason University · Paradigma

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

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

    Department of Computer Science Engineering, University of Notre Dame, Notre Dame, United States.

  8. NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

    Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyAdversarial TrainingElectroencephalography

    University of Massachusetts Amherst · United States

  9. Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis

    Aug 30, 2026Jinmeng Li, Quan Zhang, Hangting Ye +4Synthetic Tabular Data GenerationPrivacy-Preserving ML

    School of Artificial Intelligence, Jilin University, Changchun, China · Broad College of Business, Michigan State University, East Lansing, USA · Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia +2

  10. PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization

    Aug 30, 2026Stephen Meisenbacher, Andreea-Elena Bodea, Ahmet Bilal Akın +3Privacy-Preserving ML

    Technical University of Munich, School of Computation, Information and Technology · Technical University of Munich, School of Social Sciences and Technology · Munich Center for Machine Learning, Munich, Germany +1

  11. Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification

    Aug 28, 2026Cameron Wilding, Mina Shaker, Fatemeh GanjiLLM AuditingPrivacy-Preserving ML

    Worcester Polytechnic Institute Worcester, MA, USA

  12. Auditing Privacy Risks in LLM-Enhanced Graph Neural Networks

    Aug 26, 2026Longzhu He, Zelang Wen, Chaozhuo Li +1Privacy-Preserving MLLLMs for Graph Learning

    Beijing University of Posts and Telecommunications

  13. Geometric Data Perturbation with Noisy-Anchor Alignment for Privacy-Preserving Collaborative Learning

    Aug 19, 2026Keiyu Nosaka, Yamato Suetake, Yuichi Takano +2Privacy-Preserving ML

    Graduate School of Science and Technology, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, 305-8573, Ibaraki, Japan · Institute of Systems and Information Engineering, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, 305-8573, Ibaraki, Japan · Center for Artificial Intelligence Research, Tsukuba Institute for Advanced Research (TIAR), University of Tsukuba, 1-1-1, Tennodai, Tsukuba, 305-8577, Ibaraki, Japan

  14. Coordination on a Budget: Federated Active Learning with Few Labels

    Aug 19, 2026Liam Mohr, Daphna WeinshallActive LearningPrivacy-Preserving ML

    School of Computer Science and Engineering The Hebrew University of Jerusalem, Jerusalem 91904, Israel

  15. Cloak of Invisibility: Real-Time Privacy-Preserving Volumetric Video Streaming

    Aug 12, 2026Hossein Khalili, Philip Do, Alexander Vilesov +2Streaming 3D ReconstructionPrivacy-Preserving ML

    UCLA · University of California, Los Angeles · Nokia Bell Labs

  16. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckPrivacy-Preserving ML

    Laboratoire des Signaux et Syst`emes (L2S), CNRS, CentraleSup´elec, Universit´e Paris-Saclay, 91190 Gif-sur-Yvette, France

  17. Benchmarking Time Series Generation Methods for Privacy-Preserving Forecasting

    Aug 11, 2026Luis Amorim, Vitor Cerqueira, Moises Santos +2Synthetic Data GenerationTime Series Forecasting

    Faculdade de Engenharia da Universidade do Porto, Porto, Portugal · University of Coimbra, Coimbra, Portugal · Laboratory for Artificial Intelligence and Computer Science (LIACC), Portugal +3

  18. Overcoming Data Scarcity and Confidentiality in Hardware Assurance via Synthetic Generation

    Aug 10, 2026Gijung Lee, Ronald Wilson, Damon L. Woodard +1Synthetic-to-Real Domain AdaptationSynthetic Data Generation

    Florida Institute of National Security, University of Florida, Gainesville, Florida, USA

  19. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraModel Extraction AttacksPrivacy-Preserving ML

    University of Southern California

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

    Aug 10, 2026Li Siyan, Zhou Yu, Julia HirschbergPrivacy-Preserving Language ModelsPrivacy Leakage in Language Models

    Department of Computer Science Columbia University

  21. From Noise to Meaning: Meaningful Secret Sharing with Tamper Detection for Facial Recognition

    Aug 9, 2026Ajnas Muhammed, Iurii Medvedev, Nuno GonçalvesPrivacy-Preserving ML

    Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal

  22. Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representations

    Aug 8, 2026Michael Levit, Josh Ledgard, Haoyu Dong +5LLM EvaluationSynthetic Data Generation

    Microsoft Corporation

  23. 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

    Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA · Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA · Stanford University, Stanford, California, USA +5

  24. Privacy-Preserving Action Recognition: Taxonomy, Methods, and Privacy-Utility Trade-offs

    Aug 5, 2026Sareer Ul Amin, Muhammad Ayaz, Muhammad Munsif +1Privacy-Preserving MLPrivacy-Utility Tradeoff

    Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea · College of Art and Technology, Chung-Ang University, Anseong, 17546, South Korea

  25. PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

    Aug 4, 2026Yuyang Xia, Ruixuan Liu, Li XiongDynamic Graph LearningPrivacy-Preserving ML

    Emory University Atlanta, Georgia, USA

  26. Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models

    Aug 4, 2026Lele Zheng, Weifeng Kong, Xinyi Zhang +3Memory-Efficient Fine-TuningPrivacy-Preserving Language Models

    School of Computer Science and Technology, Xidian University

  27. Privacy-Preserving AI Verification via Minimal Information Disclosure

    Aug 3, 2026Sleem Abdelghafar, Gabriel KulpPrivacy-Preserving ML

    Rice University · Intelligence Security Laboratories

  28. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

    Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

  29. MOSAIC: Masked Outsourcing of Secure AI Computations

    Jul 31, 2026James Hsin-yu Chiang, Sheila Zingg, Kari Kostiainen +1Efficient Transformer InferenceSecure Multi-Party Computation

    ETH Zurich Switzerland

  30. Have I Seen You? Embedding Behavior Signals Synthetic Face Dataset Membership

    Jul 31, 2026Paweł Borsukiewicz, Daniele Lunghi, Wendkûuni C. Ouédraogo +2Membership Inference AttacksPrivacy-Preserving ML

    University of Luxembourg, Luxembourg