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Period ending 2026-09-21

17 new papers

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Period ending 2026-09-14

15 new papers

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Period ending 2026-09-07

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  1. CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents

    Jun 10, 2026Siyu Shen, Fenghao Xu, Wenrui Diao +1Graphical User Interface AgentsAI Privacy Risks and Protection

  2. Computationally tractable robust differentially private mean estimation

    Jun 10, 2026Kelly RamsayDifferential PrivacyEstimators

  3. Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models

    Jun 10, 2026Rei Minamoto, Yusuke Oda, Daisuke KawaharaAI Privacy Risks and ProtectionText Corpora

  4. The Vision Encoder as a Privacy Boundary: Visual-Token Side Channels in Encoder-Free Vision-Language Models

    Jun 10, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1Vision EncodersVisual Tokens

  5. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Pediatric-Adult Electrocardiogram AlignmentHeterogeneous Edge Devices

  6. MPC-Patch-Bench: Security-Aware LLM Code Patch for Multi-Party Computation

    Jun 9, 2026Yukuan Zhang, Mengxin Zheng, Qian LouLarge Language Model SafetyProgrambench

  7. Fixed-Parameter Tractability of Private Synthetic Data Generation

    Jun 9, 2026Badih Ghazi, Cristóbal Guzmán, Pritish Kamath +3Differential PrivacySynthetic Data

  8. Do LLMs Make Neural Distinguishers Wise?

    Jun 9, 2026Tatsuya Sakagami, Masashi Hisai, Naoto YanaiLanguage Model Evasion AttacksText2Cypher

  9. Post-Quantum Secure Federated DeFi for Inclusive Banking

    Jun 9, 2026Swati Sachan, Dale Fickett, Richard Buchinger +1Post-Quantum CryptographyHomomorphic Encryption

  10. From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning

    Jun 9, 2026Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4Federated LearningHeterogeneity

  11. Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data

    Jun 9, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Federated LearningEfficient Continual Learning

  12. Advancing the State-of-the-Art in Empirical Privacy Auditing

    Jun 9, 2026Nicole Mitchell, Galen Andrew, Arun Ganesh +2Efficient Privacy LossAlgorithm Auditing

  13. Local Is Not a Sufficient Privacy Boundary: Governing OS-Integrated On-Device AI

    Jun 8, 2026Jonghyun Chung, Sanket BadheArtificial Intelligence GovernanceAI Privacy Risks and Protection

  14. Clinically Grounded Privacy Evaluation of Medical LMs

    Jun 8, 2026Sasha Ronaghi, Sana Tonekaboni, Lena Stempfle +6Data LeakageAI Privacy Risks and Protection

  15. On Choosing the μμ Parameter in Gaussian Differential Privacy

    Jun 8, 2026Bogdan Kulynych, Antti HonkelaDifferential PrivacyAI Privacy Risks and Protection

  16. Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

    Jun 8, 2026Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke +4Large Language Model AdaptationEfficient Privacy Loss

  17. Pretrained, Frozen, Still Leaking: Auditing Cross-Encoder Attribute Transfer in EEG Foundation Models

    Jun 8, 2026Jianwei TaiElectroencephalography Foundation ModelsLeakage

  18. Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges

    Jun 8, 2026Tiejin Chen, Pingzhi Li, Kaixiong Zhou +2Multi-Modal Large Language ModelsLarge Language Model Safety

  19. GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring

    Jun 8, 2026Sivasathivel KandasamyEconomiesWelfare

  20. SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)

    Jun 6, 2026Steven Golob, Sikha Pentyala, Martine De CockSynthetic Tabular DataPrivacy-Preserving Framework

  21. Differentially Private Synthetic Data via APIs 4: Tabular Data

    Jun 6, 2026Toan Tran, Arturs Backurs, Zinan Lin +3Synthetic Tabular DataDifferential Privacy

  22. Differentially Private Range Subgraph Counting

    Jun 6, 2026Xian Chen, Ruobing Bai, Pan PengDifferential PrivacySubgraphs

  23. IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts

    Jun 6, 2026Ayana Hussain, Soumya Sharma, Golnoosh Farnadi +3AI Privacy Risks and ProtectionCollective Behaviors

  24. CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning

    Jun 6, 2026Yongqi Jiang, Yansong Gao, Siguang Chen +1Privacy-Preserving FrameworkCausal Representation Learning

  25. The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

    Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Federated LearningDiffie-Hellman

  26. Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs

    Jun 5, 2026Siyuan Xu, Yibing Liu, Peilin Chen +3Multi-Modal Large Language ModelsAI Privacy Risks and Protection

  27. When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing

    Jun 5, 2026Siyuan Xu, Yibing Liu, Peilin Chen +3Image EditingMultimodal Knowledge Editing

  28. From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability

    Jun 5, 2026Bijaya DangolInteroperabilityMulti-Agent Workflows

  29. Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI

    Jun 5, 2026Song Guo, Huawei Huang, Dongping Liu +2BlockchainPost-Quantum Cryptography

  30. What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media

    Jun 5, 2026Zifan Peng, Yini Huang, Aiwen Lu +7Efficient Privacy LossAI Privacy Risks and Protection

  31. Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data

    Jun 4, 2026Maryam Babaei, Yingke Wang, Hadrien Lautraite +3Membership Inference AttacksCounterfactual Reasoning

  32. Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link

    Jun 4, 2026Martin Clason, Joakim Argillander, Didrik Bergström +8Post-Quantum CryptographyDiffie-Hellman

  33. InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization

    Jun 4, 2026Xueyang Wu, Siyuan Liu, Kezhuo Yang +1Depression DetectionDifferential Privacy

  34. DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum

    Jun 3, 2026Naima Tasnim, Lalitha Sankar, Oliver KosutDifferential PrivacyGradient Clipping

  35. Preserving Data Privacy in Learning Causal Structure with Fully Homomorphic Encryption

    Jun 3, 2026Jian Yang, Yuan Tong, Qinbin Li +2Homomorphic EncryptionDifferential Privacy

  36. DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data

    Jun 3, 2026Yunsheng Yuan, Xue Xiao, Lina Wang +1Differential PrivacyDistributional Learning

  37. Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD

    Jun 3, 2026Xiaobo Huang, Fang XieDifferential PrivacyStochastic Gradient Descent

  38. When Do Fewer Coordinates Suffice in DP-SGD?

    Jun 3, 2026Huiqi Zhang, Fang XieDifferential PrivacyStochastic Gradient Descent

  39. Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions

    Jun 2, 2026Juan FigueraCanonical Action Verification And AttestationProtocol

  40. Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss

    Jun 2, 2026Prashant Shekhar, Caroline HowardAdsAI Privacy Risks and Protection

  41. Bayesian Membership Privacy for Graph Neural Networks

    Jun 2, 2026Sinan Yıldırım, Megha KhoslaGraph Neural NetworksMembership Inference

  42. Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation

    Jun 2, 2026Nishit SinghFairness-Aware LearningPrivacy-Preserving Framework

  43. RobotValues: Evaluating Household Robots When Human Values Conflict

    Jun 2, 2026Jongwook Han, Hyeongjin Kim, Yohan JoHuman ValuesExecutable Robot Behavior

  44. A Locally Deployed RAG-Based Academic Advising System for Course Selection

    Jun 2, 2026Feng Li, Yoritaka IwataAcademic IntegrityPrivacy-Preserving Framework

  45. Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries

    Jun 1, 2026Hina Dixit, Punit Kumar, Irene Tenison +1AI Privacy Risks and ProtectionBoundaries

  46. IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

    Jun 1, 2026Farhin Farhad Riya, Olivera Kotevska, Jinyuan Stella SunFederated LearningDifferential Privacy

  47. Ghost Tool Calls: Issue-Time Privacy for Speculative Agent Tools

    Jun 1, 2026Bardia Mohammadi, Lars Klein, Akhil Arora +1Tool InvocationCall

  48. Cross-modal linkage risk in clinical vision-language models

    Jun 1, 2026Soroosh Tayebi Arasteh, Mahshad Lotfinia, Sven Nebelung +1Medical Vision-Language ModelsChest Radiography

  49. No Free Lunch for Synthetic Images under Data Scarcity Conditions

    Jun 1, 2026Borja Arroyo Galende, Alejandro Almodóvar, Patricia A. Apellániz +3Synthetic DataGenerative Models

  50. Randomized Least Squares Value Iteration itself is Joint Differentially Private

    Jun 1, 2026Haiyang Lu, Pratik Gajane, Shaojie Bai +1AI Privacy Risks and ProtectionEfficient Exploration

  51. Private and Stable Test-Time Adaptation with Differential Privacy

    Jun 1, 2026Zefeng Li, Qiaoyue Tang, Mathias Lecuyer +1Stable Test-Time AdaptationDifferential Privacy

  52. Coherent Swap Regret and Channel-Proof Learning

    Jun 1, 2026Sohail SarkarPost-Quantum CryptographyO(T^Β)$ Simultaneous Regret

  53. Differentially Private Datastore Generation for Retrieval-Augmented Inference

    May 31, 2026Abdelrahman Abouelenein, Marwan TorkiDifferential PrivacyMembership Inference Attacks

  54. Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning

    May 31, 2026Ivo Osterberg Nilsson, Maximilian Birr Engvall, Viktor Valadi +1Federated LearningPrivacy-Preserving Framework

  55. PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA

    May 31, 2026Shihao Wang, Xueru ZhangDifferential PrivacyLow-Rank Adaptation

  56. Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings

    May 29, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Anuj SharmaFederated LearningEfficient Continual Learning

  57. PE-means: Improved Differentially Private kk-means Clustering through Private Evolution

    May 29, 2026Thomas Humphries, Zinan Lin, Sergey YekhaninDifferential PrivacyK-Means

  58. LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability

    May 29, 2026Tom Lucas, Alessio Buscemi, Alfredo Capozucca +2Large Language Model EvaluationTransparency

  59. Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences

    May 29, 2026Jabin Koo, Hoyoung Kim, Minwoo Jang +1Preference AlignmentPreference Learning

  60. MosaicLeaks:Privacy Risks in Querying-in-the-Open for Deep Research Agents

    May 29, 2026Alexander Gurung, Spandana Gella, Alexandre Drouin +3Data LeakageDeep Research