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Period ending 2026-09-14

15 new papers

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  1. Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning

    Sep 17, 2026Simon Süwer, Julian Klemm, Elisa Acitelli +38Privacy-Preserving FrameworkMulti-Omic Framework

  2. ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions

    Sep 16, 2026Guosen Wu, Huizhen Huang, Guoxiong Long +2Heuristic Privacy MetricsAgentic Evaluations

  3. Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication

    Sep 14, 2026Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling +1Differential PrivacyDp-Sgd

  4. LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilPrivacy-Preserving FrameworkMental Health

  5. GRIN+: Towards Fast Yet Effective Machine Unlearning for Imbalanced Medical Data

    Sep 14, 2026Minghui Huang, Junxiao WangMachine UnlearningExtreme Class Imbalance

  6. Correlation-Guided Fast Machine Unlearning via Hessian Analysis

    Sep 14, 2026Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal +1Machine UnlearningPrivacy-Preserving Framework

  7. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 14, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamDifferential Privacy

  8. MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Learning

    Sep 14, 2026Hanju Jang (Yonsei University), Gyeongmin Han (Yonsei University), Sungmin Lee (Yonsei University) +3Vehicle DetectionLearnable Prototypes

  9. Component-Aware Differential Privacy for Federated Multilingual Speech-LLMs

    Sep 11, 2026Jordi Luque, Fernando López, Aleix SantSpeech-LlmsDifferential Privacy

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

    Sep 11, 2026Noman Sadiq, Mohsen TooraniElectroencephalogramPrivacy-Utility Trade-Offs

  11. Predicting Privacy Leakage from Weight Spectral Density

    Sep 10, 2026Richard J. Preen, Jim SmithMembership Inference AttacksHeuristic Privacy Metrics

  12. Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning

    Sep 10, 2026Parsa Rajabi, Mohammad Mirzaee, Mohammad Reza Abedi +2Wireless Resource AllocationSecure Aggregation

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

    Sep 10, 2026William Novak, Muhammad AbusaqerMembership Inference AttacksText Classifier

  14. Algorithmic stability via ensembling

    Sep 9, 2026Rina Foygel Barber, Richard J. SamworthStability AnalysisPrivacy-Preserving Framework

  15. Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation

    Sep 9, 2026Ben Merbaum, Mohammad Amin Raeisi, Wenhao Wang +3LLM Inference EfficiencyMatrix Multiplication

  16. Subgroup Membership Inference Audits of Differentially Private Synthetic Text

    Sep 9, 2026Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +2Membership Inference AttacksMembership Inference

  17. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Federated Fine-TuningLarge Language Model Fine-Tuning

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

    Sep 8, 2026Ali Backour, Juan Reyes, Jaime Punyed +1Homomorphic EncryptionEfficient Inference System

  19. When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning

    Sep 8, 2026Wenrui Yu, Changlong Ji, Johannes Bjerva +1Secure AggregationData Leakage

  20. Topological Fraud Detection in Latent Transaction Spaces

    Sep 8, 2026Avraham BourlaFraud DetectionSensitive Data

  21. Geographically Regularized AUC-Maximizing Personalized Federated Learning

    Sep 8, 2026Mayu Hiraishi, Kensuke Tanioka, Toshio ShimokawaPrivacy-Preserving FrameworkHealthcare

  22. Privacy Leakage from a Thousand Words: Millipixel Location Recovery from Dot Maps

    Sep 7, 2026Yuntao Du, Tanishq Pauskar, Hao Wang +2Lane-Level Map GenerationMap

  23. Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access

    Sep 4, 2026Liou Tang, James Joshi, Ashish KunduQuantum LearningPrivacy Risks and Protection

  24. OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models

    Sep 3, 2026Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +2Open-Set RecognitionConfidence Estimation

  25. Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Differential PrivacyExplainability

  26. Mind the Gap: Robustness Risks in PII Detection Systems

    Sep 3, 2026Adeel Zafar, Slawomir NowaczykSensitive DataArtificial Intelligence Detection

  27. Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

    Sep 3, 2026Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1Intrusion DetectionDifferential Privacy

  28. Differentially private federated learning with Byzantine-robust aggregation: A cross-domain framework for secure model training in banking and healthcare systems

    Sep 2, 2026Srikumar NayakByzantine-Robust AggregationDifferential Privacy

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

    Sep 2, 2026Yuqiao Xu, Erman AydayRobot PerceptionPrivacy Risks and Protection

  30. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Privacy-Preserving FrameworkEdge Computing

  31. Privacy Washing: Detecting Internal Contradictions in Privacy Policies

    Sep 2, 2026Thomas BrackinPrivacy Risks and ProtectionPrevalence

  32. Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

    Sep 1, 2026Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-UlloaHomomorphic EncryptionText2Cypher

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

    Sep 1, 2026Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2Homomorphic EncryptionPrivacy-Preserving Framework

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

    Sep 1, 2026Jiachen Zhao, Antonia Januszewicz, Taeho JungPrivacy Risks and ProtectionSynthetic Data

  35. Differentially Private Paired Table-Image Multimodal Synthesis

    Sep 1, 2026Kai Chen, Josephine Lamp, Somesh Jha +1Synthetic Tabular DataMedical Image Generation

  36. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Federated Fine-TuningHeterogeneity

  37. The Privacy-Hallucination Tradeoff in Differentially Private Language Models

    Aug 31, 2026Krithika Ramesh, Krishna Pillutla, Danish Pruthi +1Large Language Model HallucinationDifferential Privacy

  38. CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning

    Aug 31, 2026Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1One-Shot Federated LearningHeterogeneous Knowledge Distillation

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

    Aug 31, 2026Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant ShenoyElectroencephalogramNeurally

  40. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware LearningMulticlass Classification

  41. Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization

    Aug 31, 2026Dishu Yang, Jingjing Liu, Jize LiPrivacy Risks and ProtectionLarge Language Model Alignment

  42. ECA-BLS: An Efficient Complex-Augmented Broad Learning System

    Aug 30, 2026A. Rahaman, A. Quadir, M. Sajid +2Homomorphic Encryption

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

    Aug 30, 2026Jinmeng Li, Quan Zhang, Hangting Ye +4Synthetic Tabular DataSynthetic Data

  44. 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 FrameworkAI Benchmarks

  45. Performative Privacy: When Differential Privacy Maximizes Utility

    Aug 28, 2026Uddalak Mukherjee, Edwige Cyffers, Yann ChevaleyreDifferential PrivacyPrivacy-Preserving Framework

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

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

  47. Which LLM Is Your Ideal Companion? Evaluating Emotional Companion Capabilities of LLMs Based on Adult Attachment Theory

    Aug 13, 2026Junkai Zhou, Shiting Guan, Zhaoyi ZhangArtificial Intelligence CompanionsLarge Language Model Evaluation

  48. Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs

    Aug 13, 2026Saleh Almohaimeed, Saad Almohaimeed, Mousa Jari +2Retrieval-Augmented GenerationSensitive Data

  49. SoK: From Generation to Consumption of Privacy Documents in Software Systems

    Aug 12, 2026Shidong Pan, Clark LaChance, Zhen Tao +1Privacy Risks and ProtectionDocumentation

  50. Rethinking Agent Security as a Networking Problem

    Aug 12, 2026Van Tran, Taveesh Sharma, Tajveer Singh Dhesi +1Artificial Intelligence RiskSecurity

  51. LEMUR: Latent Entropy-aware Multimodal Unlearning via Visual-anchored Reasoning Redirection

    Aug 12, 2026Xinhao Zhong, Yuxia Qiao, Junhao Li +3Large Language Model UnlearningMultimodal Reasoning

  52. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckKullback-Leibler Regularization

  53. Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic Motivation

    Aug 11, 2026Md Rafid Islam, Rafsan Jany, Zahid Hasan +1Sparse RewardsCuriosity-Driven Exploration

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

    Aug 10, 2026Gijung Lee, Ronald Wilson, Damon L. Woodard +1Synthetic DataSemiconductor Manufacturing

  55. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraChannel State InformationFisher Information

  56. Software Engineering for and with GUI Agent

    Aug 10, 2026Shengcheng Yu, Yuchen Ling, Junyang Xing +3Desktop Graphical User Interface AgentsSoftware Engineering

  57. CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

    Aug 10, 2026Bingcan Guo, Eryue Xu, Jijie Zhou +2Progressive DisclosurePrivacy Risks and Protection

  58. Beyond Direct Identifiers: Probabilistic Privacy Risk Estimation for Privacy-Conscious LLM Query Delegation

    Aug 10, 2026Li Siyan, Zhou Yu, Julia HirschbergHeuristic Privacy MetricsPrivacy Risks and Protection

  59. Security and Privacy Taxonomy Generation from Mobile App Reviews

    Aug 10, 2026Moghis Fereidouni, Vinaik Chhetri, Umar Farooq +1TaxonomySecurity Analysis

  60. Mind the Hook: Source-Level Auditing of Privacy Defenses in Retrieval-Augmented Generation

    Aug 10, 2026Yanhang Li, Zhichao Fan, Zexin ZhuangRetrieval-Augmented GenerationAlgorithm Auditing