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. MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing

    Jul 9, 2026Xu Zhou, Haoyang Chen, Xinyu LeiCloud ComputingPrivacy-Preserving ML

    Department of Computer Science, Michigan Technological University, Houghton, MI, USA

  2. Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets

    Jul 9, 2026B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal +2ClusteringQuantum Machine Learning

    Department of Information Systems, Central Michigan University, Mount Pleasant, MI, USA. · Department of Computer and Information Sciences, Trine University, Angola, IN, USA. · Department of Computer Science and Engineering, American International University–Bangladesh (AIUB), Dhaka, Bangladesh. +2

  3. FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation

    Jul 8, 2026Chongkai Li, Bang Zhang, Wenjian LuoPrivacy-Preserving MLFederated Learning

    Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China

  4. Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe

    Jul 8, 2026T-H. Hubert Chan, Elaine Shi, Mengshi Zhao +1Privacy-Preserving MLDifferential Privacy

    The University of Hong Kong, Hong Kong, China · Carnegie Mellon University, Pittsburgh, USA · The Hong Kong University of Science and Technology, Hong Kong, China

  5. REAN: Reconstruction-aware ECG Anonymization Based on Privacy--Utility Orthogonality

    Jul 7, 2026Taerin Ki, Sunghwan Park, Junyoung Park +1Biometric IdentificationElectrocardiography

    Chung-Ang University Seoul, South Korea

  6. Unlearnable Faces: Privacy Protection Surviving Extraction Pipeline

    Jul 7, 2026Byunghoon Oh, Sunghwan Park, Jaewoo LeeAdversarial ExamplesPrivacy-Preserving ML

    Chung-Ang University, Seoul, South Korea

  7. PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning

    Jul 7, 2026Harsh Kasyap, Anil Kumar Pradhan, Ugur Ilker Atmaca +2Federated Learning AggregationByzantine-Robust Federated Learning

    Indian Institute of Technology (BHU), Varanasi, India · University of Warwick, Coventry, UK · Vaulttree,, Ireland +2

  8. Differentially Private Natural Gradient Descent

    Jul 7, 2026Pan Li, Kai Chen, Shuai Chang +3Gradient DescentNatural Gradient Methods

    Institute of Information Engineering, Chinese Academy of Sciences Beijing, China · Department of Computer Science, Metropolitan College, Boston University Boston, United States · Nanyang Technological University Singapore, Singapore

  9. Privacy-Preserving Robustness Verification for Neural Networks

    Jul 6, 2026Nianyun Song, Xiaokun Luan, Yu Guo +3Secure Multi-Party ComputationNeural Network Verification

    School of Artificial Intelligence, Beijing Key Laboratory of Artificial Intelligence for Education, Engineering Research Center of Intelligent Technology and Educational Application (Ministry of Education), Beijing Normal University, Beijing, China · School of Mathematical Sciences, Peking University, Beijing, China · School of Computer Science, University of Bristol, Bristol, UK

  10. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Graph Neural NetworksDecentralized Learning

    School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China · State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · School of Cyber Science and Technology, Shandong University, Qingdao, China +2

  11. TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction

    Jul 5, 2026Nikos Athanasiou, Ilya A. Petrov, Angela Yao +7Gradient Inversion AttacksVLM Robustness

    Meta, Zürich, Switzerland · Max Planck Institute for Intelligent Systems, Tübingen, Germany · University of Tübingen, Germany +1

  12. GDPR-Aware Trajectory Sharing for ISAC-Assisted Robot Navigation: A Case Study on FID-Constrained Collision Prediction

    Jul 3, 2026Zexin Fang, Bin Han, Donglin Wang +2Privacy-Preserving MLRobot Collision Avoidance

    RPTU University Kaiserslautern-Landau, Germany · Technical University of Darmstadt, Germany · German Research Center for Artificial Intelligence (DFKI), Germany.

  13. TIER: Trajectory-Invariant Explanation Regularization for Membership Privacy

    Jul 3, 2026Varun Sharma, Kar Wai Fok, Vrizlynn L. L. ThingMembership Inference AttacksExplanation Stability

    ST Engineering, Singapore

  14. Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

    Jul 2, 2026Xavier Martínez-Luaña, Alba Gude-Santos, Manuel Fernández-Veiga +1Byzantine-Robust Federated LearningDecentralized Learning

    Galician Research and Development Center in Advanced Telecommunications (GRADIANT) Estrada do Vilar, 56-58, Vigo, 36214, Spain · atlanTTic, Information & Computing Lab (ICLAB), Telecommunication Engineering School, Universidade de Vigo Vigo, 36310, Spain

  15. Depth-Only Open-Vocabulary 3D Semantic Segmentation For Privacy-Preserving Robotic Applications

    Jul 1, 2026Xuying Huang, Sicong Pan, Maren BennewitzTest-Time AdaptationOpen-Vocabulary 3D Segmentation

    Humanoid Robots Lab, University of Bonn, the Lamarr Institute for Machine Learning and Artificial Intelligence, and the Center for Robotics, Bonn, Germany

  16. Bit-ViP: Leveraging Bit-planes to Preserve Visual Privacy in Images through Obfuscation

    Jun 28, 2026Vishesh Kumar Tanwar, Ashish Gupta, Sanjay Madria +1Privacy-Preserving ML

    Department of Computer Science, Missouri University of Science and Technology, USA · Department of Computer Science and Engineering, BITS Pilani Dubai Campus, Dubai, UAE

  17. Arbitrary Reduction of Validation Error for AI Decision Tests using Homomorphic AI and Repetition Codes

    Jun 27, 2026Eric Filiol, Jaagup SeppHomomorphic EncryptionPrivacy-Preserving ML

    Independent Researcher - Retired Professor · Hope4Sec, Tallinn, Estonia

  18. Productionized Fairness Measurement Under Privacy Constraints

    Jun 25, 2026Osonde A. Osoba, Yuzi He, Saikrishna Badrinarayanan +3Algorithmic FairnessPrivacy-Preserving ML

    LinkedIn, California, USA

  19. Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

    Jun 25, 2026Naoki Nishikawa, Shokichi Takakura, Satoshi HasegawaPrivacy-Preserving MLDifferentially Private Federated Learning

    The University of Tokyo · LY Corporation

  20. TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems

    Jun 25, 2026Ngoc Bao Anh Le, Thai T. Vu, John Le +2Efficient Neural Network InferenceHomomorphic Encryption

    University of Wollongong Wollongong, Australia

  21. Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries

    Jun 24, 2026Tânia Carvalho, Maxime CordyTabular Foundation ModelsMembership Inference Attacks

    SnT, University of Luxembourg · Luxembourg

  22. Federated Hash Projected Latent Factor Learning

    Jun 24, 2026Jialan HeCommunication-Efficient Distributed TrainingPrivacy-Preserving ML

    College of Computer and Information Science Southwest University Chongqing 400715, China

  23. TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems

    Jun 24, 2026Erdenebileg Batbaatar, Young YoonCommunication-Efficient Distributed TrainingPrivacy-Preserving ML

    Neouly, Republic of Korea · Department of Computer Engineering, Hongik University, Republic of Korea

  24. Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks

    Jun 24, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluGraph Neural NetworksCybersecurity

    Center for Cyber Security, New York University, Abu Dhabi, UAE.

  25. Homomorphic Encryptions for Privacy Preserving Vision

    Jun 23, 2026Preey Shah, Rohan Virani, Sanjari SrivastavaHomomorphic EncryptionPrivacy-Preserving ML

  26. Privacy-Preserving Person Re-Identification from Temporal Sequences with Transformer and Hungarian Optimization

    Jun 22, 2026Raphaël Delécluse, Hazem Wannous, Laurent GuimasPrivacy-Preserving MLPerson Re-Identification

    IMT Nord Europe, University of Lille, CNRS UMR 9189 - CRIStAL, F-59000 Lille, France · Explain, F-59000 Lille, France

  27. FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals

    Jun 22, 2026Chengjun Yu, Di Wu, Yi He +1Latent Variable ModelsPrivacy-Preserving ML

    Southwest University Chongqing, China · College of William & Mary Williamsburg, Virginia, United States · Beihang University Beijing, China

  28. Catching Lies Without Sending the Video: Privacy-Preserving Multimodal Deception Detection

    Jun 21, 2026Nikita Sharma, Pranav Sara, Karan SinglaPrivacy-Preserving MLMultimodal Model Evaluation

    University of California, San Diego · Case Western Reserve University, Ohio · WhissleAI, USA

  29. Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Federated RLAutonomous Cyber Defense

    FAST National University of Computer and Emerging Sciences, Islamabad, Pakistan

  30. Quantum ring all-reduce: communication and privacy advantages for distributed learning

    Jun 18, 2026María Gragera Garcés, Lirandë PiraCommunication-Efficient Distributed TrainingPrivacy-Preserving ML

    University of Edinburgh, Edinburgh, United Kingdom · Centre for Quantum Technologies, National University of Singapore, Singapore