Privacy-Preserving ML

ML: Machine Learning

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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

  2. Efficient Provably Private Classification with a Tabular Foundation Model

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

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

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

  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

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

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

  6. Private online learning and prediction for Littlestone classes

    Oct 5, 2026Amartya SanyalPrivacy-Preserving MLDifferential Privacy

  7. Differentially Private Mixing of Public Datasets Improves Private Learning

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

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

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

  9. Private Component-by-Component Learning

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

  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

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

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

  12. Certification-Based Differentially Private Learning

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

  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

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

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

  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

  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

  17. Geometry-Adaptive Mechanisms for Private Synthetic Data

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

  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

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

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

  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

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

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

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

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

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

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

  24. Differentially Private Semantic Plans for Aggregate Insight Generation

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

  25. 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

  26. 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

  27. Correlation-Guided Fast Machine Unlearning via Hessian Analysis

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

  28. Privacy Preserving Gossip Learning

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

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

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

  30. Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2

    Sep 10, 2026William Novak, Muhammad AbusaqerMembership Inference AttacksPrivacy-Preserving ML

  31. Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

    Sep 8, 2026Ali Backour, Juan Reyes, Jaime Punyed +1Efficient InferenceSelective Inference

  32. Shadow Queries for Private Retrieval in Vector Databases

    Sep 7, 2026Xinguo Feng, Zhongkui Ma, Zihan Wang +4Privacy-Preserving MLInformation Retrieval

  33. Seeing Less Is Not Seeing Safely: Privacy Leakage from Task-Scoped Robot Perception Exports

    Sep 2, 2026Yuqiao Xu, Erman AydayPrivacy-Preserving MLRobotic Perception

  34. HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation

    Sep 1, 2026Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2Privacy-Preserving Language ModelsHomomorphic Encryption

  35. Position: Privacy Is a Claim, Not a Property of Synthetic Data

    Sep 1, 2026Jiachen Zhao, Antonia Januszewicz, Taeho JungPrivacy AuditingPrivacy-Preserving ML

  36. NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

    Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyAdversarial TrainingElectroencephalography

  37. Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis

    Aug 30, 2026Jinmeng Li, Quan Zhang, Hangting Ye +4Synthetic Tabular Data GenerationPrivacy-Preserving ML

  38. PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization

    Aug 30, 2026Stephen Meisenbacher, Andreea-Elena Bodea, Ahmet Bilal Akın +3Privacy-Preserving ML

  39. Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification

    Aug 28, 2026Cameron Wilding, Mina Shaker, Fatemeh GanjiLLM AuditingPrivacy-Preserving ML

  40. Auditing Privacy Risks in LLM-Enhanced Graph Neural Networks

    Aug 26, 2026Longzhu He, Zelang Wen, Chaozhuo Li +1Privacy-Preserving MLLLMs for Graph Learning

  41. Geometric Data Perturbation with Noisy-Anchor Alignment for Privacy-Preserving Collaborative Learning

    Aug 19, 2026Keiyu Nosaka, Yamato Suetake, Yuichi Takano +2Privacy-Preserving ML

  42. Coordination on a Budget: Federated Active Learning with Few Labels

    Aug 19, 2026Liam Mohr, Daphna WeinshallActive LearningPrivacy-Preserving ML

  43. Cloak of Invisibility: Real-Time Privacy-Preserving Volumetric Video Streaming

    Aug 12, 2026Hossein Khalili, Philip Do, Alexander Vilesov +2Streaming 3D ReconstructionPrivacy-Preserving ML

  44. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckPrivacy-Preserving ML

  45. Benchmarking Time Series Generation Methods for Privacy-Preserving Forecasting

    Aug 11, 2026Luis Amorim, Vitor Cerqueira, Moises Santos +2Synthetic Data GenerationTime Series Forecasting

  46. Overcoming Data Scarcity and Confidentiality in Hardware Assurance via Synthetic Generation

    Aug 10, 2026Gijung Lee, Ronald Wilson, Damon L. Woodard +1Synthetic-to-Real Domain AdaptationSynthetic Data Generation

  47. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraModel Extraction AttacksPrivacy-Preserving ML

  48. From Noise to Meaning: Meaningful Secret Sharing with Tamper Detection for Facial Recognition

    Aug 9, 2026Ajnas Muhammed, Iurii Medvedev, Nuno GonçalvesPrivacy-Preserving ML

  49. Protecting patient privacy in clinical foundation models: Technical and legal perspectives

    Aug 7, 2026Sana Tonekaboni, Lena Stempfle, Sasha Ronaghi +4Privacy AuditingPrivacy Leakage in Language Models

  50. Privacy-Preserving Action Recognition: Taxonomy, Methods, and Privacy-Utility Trade-offs

    Aug 5, 2026Sareer Ul Amin, Muhammad Ayaz, Muhammad Munsif +1Privacy-Preserving MLPrivacy-Utility Tradeoff

  51. PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

    Aug 4, 2026Yuyang Xia, Ruixuan Liu, Li XiongDynamic Graph LearningPrivacy-Preserving ML

  52. Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models

    Aug 4, 2026Lele Zheng, Weifeng Kong, Xinyi Zhang +3Memory-Efficient Fine-TuningPrivacy-Preserving Language Models

  53. Privacy-Preserving AI Verification via Minimal Information Disclosure

    Aug 3, 2026Sleem Abdelghafar, Gabriel KulpPrivacy-Preserving ML

  54. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

  55. MOSAIC: Masked Outsourcing of Secure AI Computations

    Jul 31, 2026James Hsin-yu Chiang, Sheila Zingg, Kari Kostiainen +1Efficient Transformer InferenceSecure Multi-Party Computation

  56. Have I Seen You? Embedding Behavior Signals Synthetic Face Dataset Membership

    Jul 31, 2026Paweł Borsukiewicz, Daniele Lunghi, Wendkûuni C. Ouédraogo +2Membership Inference AttacksPrivacy-Preserving ML