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. MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

    May 10, 2026Yining Chen, Jihao Zhao, Bo Tang +5Agent MemoryPrivacy-Preserving ML

    1MemTensor (Shanghai) Technology Co., Ltd. · 3Tongji University · 2HONOR Device Co., Ltd.

  2. Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework

    May 10, 2026John Cartmell, Alexander WilliamsInternet of ThingsPrivacy-Preserving ML

    Department of Electrical Engineering and Computer Science

  3. Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection

    May 9, 2026Lei Wang, Wenxiang Diao, Andrew Busch +2Privacy-Preserving MLVideo Anomaly Detection

    School of Engineering and Built Environment, Griffith University · Data61/CSIRO · School of Computer Science and Engineering, University of New South Wales +1

  4. Private Vertical Federated Inference for Time-Series

    May 8, 2026Lucas Fenaux, Larris Xie, Aditya Bang +3Efficient Neural Network InferencePrivacy-Preserving ML

    University of Waterloo · Borealis AI

  5. FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy

    May 8, 2026Debashis De, Mahua Nandy Pal, Dipankar HazraDiabetic Retinopathy GradingQuantum Machine Learning

    Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal · Department of Computer Science and Engineering, MCKV Institute of Engineering, West Bengal · Department of Computer Science and Engineering, OmDayal Group of Institutions, West Bengal

  6. Towards Differentially Private Reinforcement Learning with General Function Approximation

    May 7, 2026Yi He, Xingyu ZhouRegret Minimization in RLReinforcement Learning

    Wayne State University, Detroit, USA

  7. Quadratic Objective Perturbation: Curvature-Based Differential Privacy

    May 7, 2026Daniel Cortild, Coralia CartisPrivacy-Preserving MLDifferential Privacy

    Mathematical Institute, University of Oxford, Oxford, United Kingdom

  8. Enabling Federated Inference via Unsupervised Consensus Embedding

    May 7, 2026Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa +1Ensemble LearningPrivacy-Preserving ML

    School of Engineering, Institute of Science Tokyo, Tokyo 152-8550, Japan · Research & Development Group, Hitachi Ltd., Tokyo 185-8601, Japan

  9. CFE-PPAR: Compression-friendly encryption for privacy-preserving action recognition leveraging video transformers

    May 7, 2026Haiwei Lin, Shoko Imaizumi, Hitoshi KiyaVideo Action RecognitionPrivacy-Preserving ML

    Graduate School of Informatics Chiba University Chiba, Japan · Faculty of System Design Tokyo Metropolitan University Tokyo, Japan

  10. Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs

    May 6, 2026Kennedy Edemacu, Mohammad Mahdi Shokri, Vinay M. Shashidhar +1Retrieval-Augmented GenerationPrivacy-Preserving ML

    The City University of New York, College of Staten Island and Graduate Center · The City University of New York, Graduate Center · Northern Michigan University +1

  11. Position: Embodied AI Requires a Privacy-Utility Trade-off

    May 6, 2026Xiaoliang Fan, Jiarui Chen, Zhuodong Liu +6Privacy-Preserving MLEmbodied AI

    Fujian Key Laboratory of Urban Intelligent Sensing and Computing, Xiamen University, China Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, China · School of Computing and Information Systems, The University of Melbourne, Australia

  12. Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning

    May 6, 2026Xinyan Han, Yan Lu, Xiaoyu Lin +5Synthetic Data AugmentationPrivacy-Preserving ML

    1Tsinghua University · 2Southeast University · 3Siemens China

  13. On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference

    May 6, 2026Zhengyi Li, Yakai Wang, Kang Yang +6Transformer InferenceModel Extraction Attacks

    Shanghai Jiao Tong University · State Key Laboratory of Cryptology · Shanghai Qizhi Institute

  14. From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists

    May 6, 2026Stefano Cecconello, Mauro Conti, Luca Pajola +2Privacy-Preserving MLUser Modeling

    University of Padova, Italy · Örebro University, Sweden · Spritz Matter, Italy

  15. FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings

    May 5, 2026Farjana YesminExplainable Artificial IntelligenceHealthcare

    Independent Researcher · Boston, MA, USA · MA

  16. A Deeper Dive into the Irreversibility of PolyProtect: Making Protected Face Templates Harder to Invert

    May 5, 2026Vedrana Krivokuća Hahn, Jérémy Maceiras, Sébastien MarcelBiometric IdentificationPrivacy-Preserving ML

    All authors are with Idiap Research Institute in Martigny, Switzerland.

  17. FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction

    May 5, 2026Duc Dm, Thao Do, Minh Son Hoang +3Differentially Private Stochastic Gradient DescentPrivacy-Preserving ML

    School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea · Center for Environmental Intelligence (CEI), VinUniversity, Hanoi, Vietnam · Khoury College of Computer Sciences, Northeastern University, USA

  18. Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection

    May 5, 2026Jingjing Zhou, Yongshuai Yang, Qing Qing +5Privacy-Preserving MLMultimodal Graph Learning

    School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China · College of Computer Science and Technology, Jilin University, Changchun 130012, China · School of Computing Technologies, RMIT University, Melbourne, VIC 3000, Australia +1

  19. Distributed Deep Variational Approach for Privacy-preserving Data Release

    May 4, 2026Zahir Alsulaimawi, Huaping LiuInformation BottleneckPrivacy-Preserving ML

  20. MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation

    May 4, 2026Chamani Shiranthika, Hadi Hadizadeh, Parvaneh SaeediLatent Diffusion ModelsSplit Federated Learning

    School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

  21. Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning

    May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaPrivacy-Preserving MLDifferentially Private Federated Learning

  22. Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures

    May 4, 2026Divya GuptaByzantine-Robust Federated LearningPrivacy-Preserving ML

    Independent Researcher Hyderabad, India

  23. Misclassification Rate and Privacy-Utility Trade-offs in Graph Convolutional Networks via Subsampling Stability

    May 3, 2026Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang +1Algorithmic StabilityPrivacy-Preserving ML

    School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China · Shanghai Innovation Institute, Shanghai, China

  24. Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

    May 3, 2026G. Victor DanielGraph Neural NetworksPrivacy-Preserving ML

    School of Engineering, Anurag University, Hyderabad, Telangana, India

  25. Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection

    May 3, 2026Samhita Kuili, Mohammadreza Amini, Burak KantarciWireless CommunicationsPrivacy-Preserving ML

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

  26. Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection

    May 3, 2026Joydeb Kumar SanaDifferentially Private Stochastic Gradient DescentPrivacy-Preserving ML

    Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

  27. Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition

    May 2, 2026Jiabei Zhang, Ziyuan Yang, Andrew Beng Jin Teoh +1Adversarial TrainingAdversarial Attacks

    School of Cyber Science and Engineering, Sichuan University · Lee Kong Chian School of Medicine, Nanyang Technological University · School of Electrical and Electronic Engineering, Yonsei University

  28. Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption

    May 1, 2026Gaoyi Chen, Minghao Li, Weishi Shi +4Data LeakagePrivacy Auditing

    Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA · Department of Electrical Engineering, University of North Texas, Denton, TX, USA

  29. Unlearning Offline Stochastic Multi-Armed Bandits

    May 1, 2026Zichun Ye, Runqi Wang, Xuchuang Wang +3Multi-Armed BanditsRobust Multi-Armed Bandits

    Shanghai Jiao Tong University, Shanghai, China · University of Massachusetts Amherst, Massachusetts, United States · University of Washington, Tacoma, United States

  30. Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

    Apr 30, 2026Yuhua Wang, Qinnan Zhang, Xiaodong Li +6Privacy-Preserving MLDifferentially Private Federated Learning

    School of Artificial Intelligence, Beihang University · School of Statistics, Renmin University of China · School of Computer Science and Engineering, Beihang University