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Period ending 2026-09-21

17 new papers

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  1. A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities

    Apr 21, 2026Aya Cherigui, Florent Guépin, Arnaud Legendre +1MobilityAI Privacy Risks and Protection

  2. Accelerating Optimization and Machine Learning through Decentralization

    Apr 21, 2026Ziqin Chen, Zuang Wang, Yongqiang WangDecentralizationMachine Learning

  3. Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics

    Apr 21, 2026Yuhan Hu, Xiaolei FangHeterogeneous Federated LearningPredictive Maintenance

  4. Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

    Apr 21, 2026Daniel M. Jimenez-Gutierrez, Dario Pighin, Enrique Zuazua +4Federated LearningPrivacy-Preserving Framework

  5. DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

    Apr 21, 2026Isaiah Thompson, Tanmay Sen, Ritwik BhattacharyaDifferential PrivacyLarge Language Models(Llms

  6. Tight Auditing of Differential Privacy in MST and AIM

    Apr 20, 2026Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Bogdan KulynychDifferential PrivacyAI Privacy Risks and Protection

  7. Enabling AI ASICs for Zero Knowledge Proof

    Apr 20, 2026Jianming Tong, Jingtian Dang, Simon Langowski +6Zero-Knowledge ProofsAccelerator

  8. Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

    Apr 19, 2026Jianming Tong, Hanshen Xiao, Krishna Kumar Nair +5Virtual RealityDifferential Privacy

  9. Towards a Data-Parameter Correspondence for LLMs: A Preliminary Discussion

    Apr 19, 2026Ou WuLarge ModelsAI Privacy Risks and Protection

  10. Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI

    Apr 19, 2026Jiaxun Cao, Yu Dong, Chunxi Zhan +3TransparencyGenerative Artificial Intelligence

  11. PPEDCRF: Dynamic-CRF-Guided Selective Perturbation for Background-Based Location Privacy in Video Sequences

    Apr 18, 2026Bo Ma, Weiqi Yan, Jinsong WuAI Privacy Risks and ProtectionFine-Grained Video Understanding

  12. Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks

    Apr 18, 2026Nges Brian Njungle, Eric Jahns, Michel A. KinsyHomomorphic EncryptionGraph Neural Network Inference

  13. SafeLM: Unified Privacy-Aware Optimization for Trustworthy Federated Large Language Models

    Apr 17, 2026Noor Islam S. Mohammad, Uluğ BayazıtLarge Language Model SafetySafeguard

  14. FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling

    Apr 17, 2026Xingyan Chen, Tian Du, Changqiao Xu +4Federated LearningPrivacy-Preserving Framework

  15. A Case Study on the Impact of Anonymization Along the RAG Pipeline

    Apr 17, 2026Andreea-Elena Bodea, Stephen Meisenbacher, Florian MatthesAnonymizationAI Privacy Risks and Protection

  16. DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy

    Apr 17, 2026Erchi Wang, Pengrun Huang, Eli Chien +4Differential PrivacyReasoning Benchmark

  17. Privacy-Preserving LLMs Routing

    Apr 17, 2026Xidong Wu, Yukuan Zhang, Yuqiong Ji +3Large Language Model RoutingHomomorphic Encryption

  18. SecureRouter: Encrypted Routing for Efficient Secure Inference

    Apr 16, 2026Yukuan Zhang, Mengxin Zheng, Qian LouGraph Neural Network InferenceHomomorphic Encryption

  19. Differentially Private Conformal Prediction

    Apr 16, 2026Jiamei Wu, Ce Zhang, Zhipeng Cai +4Differential PrivacyConformal Prediction

  20. CAMP: Cumulative Agentic Masking and Pruning for Privacy Protection in Multi-Turn LLM Conversations

    Apr 16, 2026Aman PanjwaniAI Privacy Risks and ProtectionMulti-Turn Large Language Model Conversations

  21. Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems

    Apr 16, 2026Ifayoyinsola Ibikunle, Tyler Farnan, Senthil Kumar +1Synthetic DataAnonymization

  22. Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network

    Apr 10, 2026Joanna KomorniczakSynthetic Tabular DataSynthetic Data

  23. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation

    Apr 8, 2026Qian Ma, Sarah RajtmajerSynthetic DataDifferential Privacy

  24. Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences

    Apr 7, 2026Xuying Huang, Sicong Pan, Delphine Reinhardt +1Social Robot NavigationAI Privacy Risks and Protection

  25. mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

    Mar 23, 2026Tanvir Ahmed, Yixuan Gao, Adnan Armouti +1Homomorphic EncryptionMillimeter Wave

  26. Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs

    Mar 23, 2026Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +3Efficient Privacy LossAI Privacy Risks and Protection

  27. Voice Privacy from an Attribute-based Perspective

    Mar 19, 2026Mehtab Ur Rahman, Martha Larson, Cristian Tejedor-GarciaSpeaker AttributesAnonymization

  28. Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating

    Mar 13, 2026Xiangkui Cao, Jie Zhang, Meina Kan +2Large Language Model SafetyLarge Vision Language Models

  29. Bayesian Adversarial Privacy

    Mar 4, 2026Cameron Bell, Timothy Johnston, Antoine Luciano +1Efficient Privacy LossDifferential Privacy

  30. Decentralized Federated Learning by Partial Message Exchange

    Mar 2, 2026Shan Sha, Shenglong Zhou, Xin Wang +2Federated LearningDifferential Privacy

  31. Differential privacy representation geometry for medical image analysis

    Mar 1, 2026Soroosh Tayebi Arasteh, Marziyeh Mohammadi, Sven Nebelung +1Differential PrivacyMedical Imaging

  32. PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems

    Feb 21, 2026Nnaemeka Obiefuna, Samuel Oyeneye, Similoluwa Odunaiya +2Privacy-Utility Trade-OffsAI Privacy Risks and Protection

  33. Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing

    Feb 20, 2026Ehsan Lari, Reza Arablouei, Stefan WernerFederated LearningConformal Prediction

  34. Efficient privacy loss accounting for subsampling and random allocation

    Feb 19, 2026Vitaly Feldman, Moshe ShenfeldDifferential PrivacyEfficient Privacy Loss

  35. FedPS: Federated Preprocessing for structured data via aggregated Statistics

    Feb 11, 2026Xuefeng Xu, Graham CormodeFederated LearningFedavg

  36. An Adaptive Differentially Private Federated Learning Framework

    Feb 6, 2026Jin Wang, Hui Ma, Yajun Zhang +4Federated LearningDifferential Privacy

  37. Separation-Utility Pareto Frontier: An Information-Theoretic Characterization

    Feb 4, 2026Shizhou XuSeparabilityPrivacy-Utility Trade-Offs

  38. On the Inherent Privacy Amplification of Missing Data

    Feb 2, 2026Simon Roburin, Rafa{ë}l Pinot, Erwan ScornetDifferential PrivacyMissing Data

  39. AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs

    Jan 30, 2026Jaehee Kim, Pilsung KangLanguage Model Evasion AttacksAI Privacy Risks and Protection

  40. VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models

    Jan 27, 2026Yuxiang Wang, Hongyu Liu, Dekun Chen +2Speaker IdentityEfficient Privacy Loss

  41. NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents

    Jan 21, 2026Saswat Das, Ferdinando FiorettoAI Privacy Risks and ProtectionGuardrail

  42. Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict

    Jan 7, 2026Guanyu Chen, Chenxiao Yu, Xiyang HuLarge Language Model AlignmentAI Privacy Risks and Protection

  43. FedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation

    Dec 21, 2025Ziyuan Tao, Chuanzhi Xu, Sandaru Jayawardana +4VideosPrivacy-Preserving Framework

  44. Efficient Public Verification of Private ML via Regularization

    Dec 3, 2025Zoë Ruha Bell, Anvith Thudi, Olive Franzese-McLaughlin +2Differential PrivacyPrivacy-Utility Trade-Offs

  45. On the Gradient Complexity of Private Optimization with Private Oracles

    Nov 17, 2025Michael Menart, Aleksandar NikolovDifferential PrivacyStochastic Gradient Descent

  46. Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis

    Nov 17, 2025Kai Chen, Chen Gong, Tianhao WangSynthetic Tabular DataDifferential Privacy

  47. User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios

    Oct 23, 2025Xiaoyuan Wu, Roshni Kaushik, Wenkai Li +2AI Privacy Risks and ProtectionLarge Language Model Responses

  48. Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impact

    Oct 7, 2025Luka Nenadic, David Rodriguez, Joseph A. CalandrinoGermanAI Privacy Risks and Protection

  49. Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

    Oct 6, 2025Max Kirchner, Hanna Hoffmann, Alexander C. Jenke +16Federated LearningSurgical Videos

  50. Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning

    Sep 26, 2025Li Xia, Jing Yu, Zheng Liu +3Federated LearningPrivacy-Preserving Framework

  51. Unbiased Binning for Fairness-aware Attribute Representation

    Sep 26, 2025Abolfazl Asudeh, Zeinab Asoodeh, Bita Asoodeh +1Fairness-Aware LearningDifferential Privacy

  52. Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies

    Sep 13, 2025Yuping Wu, Viktor Schlegel, Warren Del-Pinto +11Synthetic DataClinical Notes

  53. High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference

    Aug 7, 2025Ziliang Shen, Caixing Wang, Shaoli Wang +1Differential PrivacyQuantile Regression

  54. Optimizing Canaries for Privacy Auditing with Metagradient Descent

    Jul 21, 2025Matteo Boglioni, Terrance Liu, Andrew Ilyas +1Differential PrivacyStochastic Gradient Descent

  55. Efficient Unlearning with Privacy Guarantees

    Jul 7, 2025Josep Domingo-Ferrer, Najeeb Jebreel, David SánchezSeveral Approximate Unlearning StrategiesAI Privacy Risks and Protection

  56. Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts

    May 30, 2025Christopher Bagdon, Aidan Combs, Carina Silberer +1Emotion RecognitionSocial Media

  57. Private Rate-Constrained Optimization with Applications to Fair Learning

    May 28, 2025Mohammad Yaghini, Tudor Cebere, Michael Menart +2Differential PrivacyFairness-Aware Learning

  58. Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

    May 28, 2025Santhosh Parampottupadam, Melih Coşğun, Sarthak Pati +7Federated LearningDifferential Privacy

  59. A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

    May 20, 2025Bar Mahpud, Or SheffetDifferential PrivacySubsampling

  60. Chisme: Heterogeneity-Aware Gossip Learning

    May 14, 2025Harikrishna Kuttivelil, Katia ObraczkaHeterogeneous Edge DevicesFederated Learning