Privacy-Preserving ML

ML: Machine Learning

Latest papers 290

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  1. StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers

    Jul 31, 2026Xujun Che, Depeng Xu, Xintao WuDiffusion TransformerDifferentially Private Stochastic Gradient Descent

  2. Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Privacy-Preserving MLClustered Federated Learning

  3. Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

    Jul 30, 2026Pouya Rajabi, Mohsen TooraniFederated Learning AggregationPrivacy-Preserving ML

  4. Where Physics Meets Privacy: Federated PINNs for Privacy-Preserving Brain Tumor Biomechanical Modeling

    Jul 28, 2026Mahmuda Akter Sristy, Md Al-Mahfuz Chowdhury, Momota Ahsana Meem +2Privacy-Preserving MLOncology

  5. MOSAIC-FL, a micro-service based privacy-preserving framework with application to genomics

    Jul 27, 2026Paul Largillier, Karl Paygambar, Cédric Gouy-Pailler +3Privacy-Preserving MLGenomics

  6. ScoreShield: Differentially Private Release of Similarity Scores

    Jul 27, 2026Behrooz Razeghi, Parsa RahimiPrivacy-Preserving MLDifferential Privacy

  7. BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage

    Jul 27, 2026Akarsh K. Nair, Muhammad Arifur Rahman, David Brown +1Gradient Inversion AttacksSplit Federated Learning

  8. DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton

    Jul 26, 2026Nour Jamoussi, Ikram Dridi, Giuseppe Serra +1Bayesian Neural NetworksPrivacy-Preserving ML

  9. FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos

    Jul 25, 2026Samar Samir Khalil, Noha S. Tawfik, Marco SpruitMinimum Description LengthPrivacy-Preserving ML

  10. Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI

    Jul 24, 2026Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1Data ProvenancePrivacy-Preserving ML

  11. Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification

    Jul 23, 2026Carter Luck, Olive Franzese-McLaughlin, Elisaweta Masserova +3Privacy-Preserving MLBlack-Box Model Auditing

  12. DS@GT ARC at ImageCLEFmed GANs 2026: Geometric Filtering for Privacy-Preserving CT Slice Generation

    Jul 22, 2026Eric Regina, Richard Arnaud, Samir Hadi CisnerosPrivacy-Preserving MLMedical Image Synthesis

  13. End-to-End Differential Privacy in Training Deep Neural Network Classifiers

    Jul 21, 2026Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti +1Privacy-Preserving MLDifferential Privacy

  14. Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption

    Jul 21, 2026Munawar Hasan, Apostol VassilevPrivacy-Preserving MLCooperative Perception

  15. Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification

    Jul 21, 2026Simone MilaniMembership Inference AttacksPrivacy-Preserving ML

  16. DecoyFace: Beyond Obfuscation via Controllable and Imperceptible Identity Misdirection for Privacy-Preserving Face Recognition

    Jul 20, 2026Zhihan Ren, Lijun He, Xinyao Wang +2Gradient Inversion AttacksPrivacy-Preserving ML

  17. Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning

    Jul 19, 2026Henriette Flore Kenne, Raphael Anaadumba, Mohammad Arif Ul AlamSpeech-Based Dementia DetectionPrivacy-Preserving ML

  18. Benchmarking Face Recognition without Real Faces

    Jul 16, 2026Paweł Borsukiewicz, Daniele Lunghi, Wendkûuni C. Ouédraogo +2Privacy-Preserving MLFace Recognition

  19. Reducing information dependency does not cause training data privacy. Adversarially non-robust features do

    Jul 14, 2026Rasmus Torp, Shailen K. Smith, Adam BreuerAdversarial TrainingNeural Network Robustness

  20. Signal-Guided Optimization for Machine Unlearning

    Jul 13, 2026Xujia Li, Dan Li, Jian Lou +1Privacy-Preserving MLMachine Unlearning

  21. DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders

    Jul 12, 2026Syed Irfan Ali Meerza, Oktay Ozturk, Amir Sadovnik +1Adversarial ExamplesPrivacy-Preserving ML

  22. Toward Production-Ready Federated Learning in Healthcare: Privacy, Orchestration, and Governance in MLOps

    Jul 11, 2026Sakshi Gorkhali, Jonesh ShresthaPrivacy-Preserving MLFederated Learning

  23. Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling

    Jul 9, 2026Jason Rojas, Jiajie He, Yash Patel +3Privacy-Preserving ML

  24. EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy

    Jul 9, 2026Wenxiu Ding, Muzhi Liu, Zheng Yan +3Graph Neural NetworksPrivacy-Preserving ML

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

    Jul 9, 2026Hyunho Mo, Djura Smits, Mahlet A. Birhanu +4Privacy-Preserving MLClinical Risk Prediction

  26. Swapping Faces, Saving Features: A Dual-Purpose Pipeline for Pedestrian Privacy in ITS

    Jul 9, 2026Roba H. Farouk, Catherine M. EliasAutonomous Driving DatasetsIntelligent Transportation Systems