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. How Private is Private? A Comparative Study for Face De-Identification

    Oct 7, 2026Hui Wei, Hao Yu, Hui Kuurila-Zhang +1Privacy-Preserving ML

    ELLIS Institute Finland, Finland · Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland

  2. Efficient Provably Private Classification with a Tabular Foundation Model

    Oct 7, 2026Talal Alrawajfeh, Cristiana Diaconu, Ossi Räisä +5Privacy-Preserving MLTabular Foundation Models

    Department of Computer Science, University of Helsinki, Helsinki, Finland · Department of Engineering, University of Cambridge, Cambridge, United Kingdom · CISPA Helmholtz Center for Information Security, Saarbrücken, Germany +1

  3. Image Bitstream Fine-grained Understanding for Privacy-Friendly AIoT

    Oct 6, 2026Zhen Yu, Wenyang Liu, Kejun Wu +3Image CaptioningPrivacy-Preserving ML

    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China · School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore · School of Electronic Information, Central South University, Changsha 410083, China +1

  4. HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic Encryption

    Oct 6, 2026Halil İbrahim Kanpak, Sinem Sav, Alptekin KüpçüPrivacy-Preserving MLFederated Fine-Tuning

    Department of Computer Engineering, Kocı University, İstanbul, Türkiye · Department of Computer Engineering, Bilkent University, Ankara, Türkiye

  5. Fed-BRDECS: Privacy-Preserving and Heterogeneity-Aware Federated Deep Embedded Clustering

    Oct 5, 2026Haemin Park, Diego Klabjan, Martin W. Braun +2ClusteringDeep Clustering

    Northwestern University · Intel Corporation

  6. Private online learning and prediction for Littlestone classes

    Oct 5, 2026Amartya SanyalPrivacy-Preserving MLDifferential Privacy

    Department of Computer Science University of Copenhagen

  7. Differentially Private Mixing of Public Datasets Improves Private Learning

    Oct 5, 2026Yufei Chen, Tejumade Afonja, Anvith Thudi +1Privacy-Preserving MLDifferential Privacy

    University of Toronto and Vector Institute, Toronto, Canada · CISPA Helmholtz Center for Information Security, Saarbrucken, Germany

  8. DP-ES: Differentially Private Evolution Strategies for Prompt Optimization

    Oct 5, 2026Ziniu Liu, Aiping Li, Yue Han +5Large Language Model-Guided OptimizationEvolution Strategies

    National University of Defense Technology · CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., China Academy of Railway Sciences

  9. Private Component-by-Component Learning

    Oct 4, 2026Dvir Karni, Eliad TsfadiaBoolean Function LearningPrivacy-Preserving ML

    Department of Computer Science and Artificial Intelligence, Bar-Ilan University.

  10. Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints

    Oct 1, 2026Abid Mohamed Nadhir, Ahmad Al Hanbali, Beggas MounirHomomorphic EncryptionPrivacy-Preserving ML

    El Oued University, El Oued, Algeria · King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia · Interdisciplinary Research Center For Smart Mobility and Logistics, KFUPM, Dhahran, Saudi Arabia

  11. ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

    Oct 1, 2026Bingchen Pei, Lichong Chen, Bingxi Zhao +8Multimodal QAMultimodal Reasoning

    Beijing Jiaotong University · Virginia Polytechnic Institute and State University

  12. Certification-Based Differentially Private Learning

    Sep 30, 2026Mihnea Ghitu, Matthew WickerPrivacy-Preserving MLDifferential Privacy

    Department of Computing Imperial College London London, United Kingdom

  13. Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps

    Sep 30, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Data GenerationSynthetic Tabular Data Generation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece · Department of Computer Science and Biomedical Informatics University of Thessaly Lamia, Greece

  14. On the Relationship between Model Quantization and Model Inversion Attacks

    Sep 30, 2026Rongke Liu, Youwen ZhuModel Inversion AttacksPrivacy-Preserving ML

    School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

  15. Bits Under ZK-LLM: Evaluating Zero-Knowledge-Friendly Quantization for Verifiable Private LLM Inference

    Sep 29, 2026Taeung Yoon, Yupeng Zhang, Xiaojing LiaoLLM QuantizationLLM Inference

    Siebel School of Computing and Data Science University of Illinois Urbana-Champaign

  16. mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar

    Sep 28, 2026Junqiao Fan, Yuxuan Hu, Bofan Lyu +7Human Activity RecognitionMillimeter-Wave Radar

    School of Electrical and Electronic Engineering, Nanyang Technological University. · School of Mechanical and Aerospace Engineering, Nanyang Technological University. · The Hong Kong University of Science and Technology (Guangzhou). +1

  17. Geometry-Adaptive Mechanisms for Private Synthetic Data

    Sep 27, 2026Raoof Zare Moayedi, Amir R. Asadi, Mohammad Hossein Yassaee +1Intrinsic DimensionalitySynthetic Data Generation

    Sharif University of Technology · University of Birmingham · The Alan Turing Institute

  18. Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB

    Sep 23, 2026Xuying Huang, Swithinraj Moses Daniel, Sicong Pan +23D Point Cloud Segmentation3D Semantic Segmentation

    Fraunhofer Institute for Intelligent Analysis and Information Systems

  19. Learning Defensive Policies against Diverse Inference Attacks for Smart Meter Privacy

    Sep 21, 2026Ruichang Zhang, Mustafa A. MustafaNon-Intrusive Load MonitoringInternet of Things

    Department of Computer Science, The University of Manchester, Manchester, UK · COSIC, KU Leuven, Leuven, Belgium

  20. MIRAGE: Full-Body Bystander Privacy for Smart Glasses with Consent-Based Restoration

    Sep 21, 2026Muhammad Umair, Muhammad Danial Maqbool, Fatima Arshad Cheema +4Privacy-Preserving MLPerson Re-Identification

    Lahore University of Management Sciences (LUMS) Pakistan · Munster Technological University Ireland

  21. Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning

    Sep 17, 2026Simon Süwer, Julian Klemm, Elisa Acitelli +38Privacy-Preserving MLFederated Learning

  22. Federated Learning Framework for Privacy-Preserving Kidney Stone Detection

    Sep 17, 2026Najiyya Younas, Omar Abdulkader, Yaser Ali Shah +3Medical ImagingPrivacy-Preserving ML

    Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan · Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia · Department of Artificial Intelligence, Kyungdong University Global, Toseong-myeon 24764, South Korea. +1

  23. QuanText: Protecting Dataset-Level Secrets in Textual Data Sharing

    Sep 16, 2026Shuaiqi Wang, Zinan Lin, Giulia FantiPrivacy-Preserving ML

    Carnegie Mellon University · Microsoft Research

  24. OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design

    Sep 15, 2026Jiangrui Yu, Ye Yu, Si Chen +5Efficient Neural Network InferenceSecure Multi-Party Computation

    Peking University, Beijing, China · Open Security Research, Shenzhen, China · Tsinghua University, Beijing, China

  25. Differentially Private Semantic Plans for Aggregate Insight Generation

    Sep 14, 2026Behrooz RazeghiPrivacy-Preserving Language ModelsPrivacy-Preserving ML

    School of Engineering and Applied Sciences, Harvard University

  26. LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilPrivacy-Preserving MLClinical Prediction

    Transformative Innovation for Trustworthy AI and Network Security (TITANS) Lab, Computer Science, Southern Illinois University Carbondale, USA

  27. USPLIT-VQA: U-Shaped Split Learning for Visual Question Answering with Contribution-Aware Weighted Aggregation

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilVisual Question AnsweringFederated Learning Aggregation

    Transformative Innovation for Trustworthy AI and Network Security (TITANS) Lab, Computer Science, Southern Illinois University Carbondale, USA

  28. Correlation-Guided Fast Machine Unlearning via Hessian Analysis

    Sep 14, 2026Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal +1Privacy-Preserving MLInfluence Functions

    Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University) Varanasi, India · Halmstad University, Sweden

  29. Privacy Preserving Gossip Learning

    Sep 13, 2026Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaşarContinual LearningDecentralized Learning

    University of Illinois Urbana Champaign, IL, USA

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

    Sep 11, 2026Noman Sadiq, Mohsen TooraniElectroencephalographyPrivacy-Preserving ML

    Department of Science and Industry Systems University of South-Eastern Norway Kongsberg, Norway