Privacy-Preserving ML

ML: Machine Learning

Latest papers 290

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  1. Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning

    Jun 17, 2026Ousmane Touat, César Sabater, Mohamed Maouche +1Secure Multi-Party ComputationCommunication-Efficient Distributed Training

  2. Private Learning with Public Feature Conditioning

    Jun 17, 2026Shuli Jiang, Walid Krichene, Nicolas MayorazDifferentially Private Stochastic Gradient DescentPrivacy-Preserving ML

  3. Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector Databases

    Jun 16, 2026Chandranil Chakraborttii, Jackeline García Alvarado, Sitora Abdulofizova +1CybersecurityPrivacy-Preserving ML

  4. Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification

    Jun 16, 2026Haocheng Zhang, Zhuqian Zhou, Kirk Vanacore +2AI in EducationPrivacy-Preserving ML

  5. Differential Privacy of Gaussian Process Posterior Sampling

    Jun 16, 2026Tomasz MaciazekGaussian ProcessesPrivacy-Preserving ML

  6. Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    Jun 15, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Explainable Artificial IntelligencePrivacy-Preserving ML

  7. Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages

    Jun 15, 2026Alvaro Javier Vargas Guerrero, Xinguang Wang, Quang Manh Doan +1Communication-Efficient Distributed TrainingPrivacy-Preserving ML

  8. The Art of Mixology: Mixup-based Obfuscation for Privacy-Preserving Split Learning in Large Language Models

    Jun 15, 2026Chen Chen, Xiang Gao, Xianshun Wang +6Privacy-Preserving Language ModelsPrivacy Leakage in Language Models

  9. TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations

    Jun 15, 2026Rutger Hendrix, Leonardo G. Russo, Concetto Spampinato +2Privacy-Preserving MLMachine Unlearning

  10. FEnc2^2: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragment Encoding

    Jun 15, 2026Ran Ran, Zhaoting Gong, Nuo Xu +3Efficient Neural Network InferenceHomomorphic Encryption

  11. To forget is to preserve: Machine Unlearning for 3D medical image segmentation

    Jun 15, 2026Nitesh Kumar Singh, Akhilesh Singh, Arjun AroraPrivacy-Preserving ML3D Medical Image Segmentation

  12. 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 +1Privacy-Preserving MLPost-Quantum Cryptography

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

    Jun 11, 2026John Fields, K M Sajjadul Islam, Ruchitha Thota +2Synthetic Data GenerationAI in Education

  14. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationReconstruction-Based Anomaly Detection

  15. Fixed-Parameter Tractability of Private Synthetic Data Generation

    Jun 9, 2026Badih Ghazi, Cristóbal Guzmán, Pritish Kamath +3Synthetic Data GenerationPrivacy-Preserving ML

  16. Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data

    Jun 9, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Continual LearningFederated Continual Learning

  17. Privacy-Preserving Credit Risk Prediction with Alternative Data

    Jun 9, 2026Hongzhe Zhang, Jiarong Xu, Jing He +1AI Risk ManagementPrivacy-Preserving ML

  18. SPARX: Secure and Privacy-Aware Approximate CNN Acceleration with Edge RISC-V SoC

    Jun 8, 2026Sonu Kumar, Akash Sankhe, Mukul Lokhande +1Edge InferencePrivacy-Preserving ML

  19. Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense

    Jun 6, 2026Zhanke Zhou, Bo Han, Xuan Li +3Graph Neural NetworksPrivacy-Preserving ML

  20. CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning

    Jun 6, 2026Yongqi Jiang, Yansong Gao, Siguang Chen +1Privacy-Preserving MLFederated Learning

  21. The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

    Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Federated Learning AggregationPrivacy-Preserving ML

  22. Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs

    Jun 5, 2026Siyuan Xu, Yibing Liu, Peilin Chen +3Privacy-Preserving Language ModelsMultimodal Large Language Models

  23. Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data

    Jun 4, 2026Maryam Babaei, Yingke Wang, Hadrien Lautraite +3Counterfactual ExplanationsMembership Inference Attacks

  24. Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems

    Jun 4, 2026Md. Arifur Rahman, B. M. Taslimul Haque, Md. Iqbal Hossan +1Cyber Threat IntelligenceNetwork Intrusion Detection

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

    Jun 4, 2026Xueyang Wu, Siyuan Liu, Kezhuo Yang +1Audio Representation LearningDepression Detection