Differential Privacy

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17 papers in the last 28 days · 0.3% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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AI Privacy Risks and ProtectionPrivacy-Preserving FrameworkHomomorphic EncryptionEfficient Privacy LossPrivacy-Utility Trade-OffsDiffie-Hellman

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Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Differential Privacy.

Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Differential Privacy.

Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Differential Privacy.

169 papers

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  1. Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study

    Sep 20, 2026Márton Pál Lipcsey-Magyar, Adrian PekarFederated LearningDifferential Privacy

  2. Differentially Private Semantic Plans for Aggregate Insight Generation

    Sep 14, 2026Behrooz RazeghiDifferential PrivacyData Mining

  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 +1Federated LearningDifferential Privacy

  4. Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation

    Sep 14, 2026Zhen Zhong, Shini Yang, Liesheng WeiFederated LearningDifferential Privacy

  5. SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing

    Sep 14, 2026Shashie Dilhara Batan Arachchige, Robin Carpentier, Hassan Jameel Asghar +1LLM Inference EfficiencyDifferential Privacy

  6. 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 IslamFederated LearningChurn Prediction

  7. Privacy Preserving Gossip Learning

    Sep 13, 2026Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaşarDifferential PrivacyAI Privacy Risks and Protection

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

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

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

    Sep 11, 2026Noman Sadiq, Mohsen TooraniElectroencephalography Spatial Super-ResolutionDifferential Privacy

  10. Subgroup Membership Inference Audits of Differentially Private Synthetic Text

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

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

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Federated LearningDifferential Privacy

  12. 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 +1Federated LearningIntrusion Detection

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

    Sep 2, 2026Srikumar NayakFederated LearningByzantine Attacks

  14. Optimizing Byzantine Node Placement in Decentralized Federated Learning

    Sep 1, 2026Edoardo Gabrielli, Gabriele TolomeiByzantine AttacksFederated Learning

  15. Differentially Private Paired Table-Image Multimodal Synthesis

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

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

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

  17. Performative Privacy: When Differential Privacy Maximizes Utility

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

  18. ABC: Numerical Data Collection under Local Differential Privacy without Prior Knowledge

    Aug 6, 2026Incheol Baek, Hyungbin Kim, Yon Dohn ChungDifferential PrivacyData Collection

  19. SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant

    Aug 5, 2026Adel Javanmard, David P. Woodruff, Vahab MirrokniCalibration-Free Low-Bit Vector QuantizationDifferential Privacy

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

    Aug 5, 2026Sareer Ul Amin, Muhammad Ayaz, Muhammad Munsif +1Open-Vocabulary Action RecognitionPrivacy-Utility Trade-Offs

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

    Aug 4, 2026Lele Zheng, Weifeng Kong, Xinyi Zhang +3Continual Fine-TuningDifferential Privacy

  22. Private Generative Bootstrap via Blocking

    Aug 3, 2026Jinwon Sohn, Veronika RočkováDifferential PrivacyMultiplier Bootstrap

  23. FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting

    Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation ModelsChronos

  24. Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation

    Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated LearningBrain Tumor Segmentation

  25. Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering

    Jul 31, 2026Arkajyoti Bhattacharjee, Arnab AuddyDifferential PrivacyDensity Ratio Estimation

  26. StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers

    Jul 31, 2026Xujun Che, Depeng Xu, Xintao WuDifferential PrivacyRectified Flow

  27. Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy

    Jul 30, 2026Puning Zhao, Zhikun Zhang, Shaowei Wang +5Differential PrivacyEstimators

  28. ScoreShield: Differentially Private Release of Similarity Scores

    Jul 27, 2026Behrooz Razeghi, Parsa RahimiDifferential PrivacyMembership Inference Attacks

  29. DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton

    Jul 26, 2026Nour Jamoussi, Ikram Dridi, Giuseppe Serra +1Differential PrivacyStochastic Gradient Descent

  30. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6Prompt TuningMixture-of-Experts Models

  31. End-to-End Differential Privacy in Training Deep Neural Network Classifiers

    Jul 21, 2026Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti +1Differential PrivacyAI Privacy Risks and Protection

  32. Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning

    Jul 18, 2026Rakshit NaiduDifferential PrivacyFairness Audits

  33. Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms

    Jul 16, 2026Umid Suleymanov, Ilhama Novruzova, Khalid Mammadov +2Fairness AuditsFairness Interventions

  34. Plausible Deniability Guarantees for Whistleblowers

    Jul 15, 2026Leo Richter, Matt J. KusnerDifferential PrivacyAlgorithm Auditing

  35. Privacy-Aware Collaborative and Distributed Bayesian Optimization

    Jul 13, 2026Aditya Rane, Sathwik Yamana, Paritosh Ramanan +2Differential PrivacyBayesian Optimization

  36. EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy

    Jul 9, 2026Wenxiu Ding, Muzhi Liu, Zheng Yan +3Differential PrivacyGraph Representation Learning

  37. Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets

    Jul 9, 2026B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal +2Differential PrivacyPrivacy-Preserving Framework

  38. Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

    Jul 8, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated LearningDifferential Privacy

  39. Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data

    Jul 8, 2026Vinícius Gabriel Angelozzi, Héber H. ArcoleziDifferential PrivacyFairness-Aware Learning

  40. Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy

    Jul 7, 2026Nikita P. Kalinin, Rasmus PaghDifferential PrivacyRandom

  41. Differentially Private Natural Gradient Descent

    Jul 7, 2026Pan Li, Kai Chen, Shuai Chang +3Differential PrivacyStochastic Gradient Descent

  42. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Differential PrivacyFederated Graph Learning

  43. Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes

    Jul 3, 2026Gergely Flamich, Oykü Sıla Güner, Yanxiao Liu +1Differential PrivacyContext Compression

  44. Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness

    Jul 1, 2026Thomas Boudou, Batiste Le Bars, Nirupam Gupta +1Differential PrivacyGeneralization Bounds

  45. The Binary Tree Mechanism is Optimal for Approximate Differentially Private Continual Counting

    Jul 1, 2026Konstantina Bairaktari, Kasper Green LarsenDifferential PrivacyCounting

  46. Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs

    Jun 26, 2026Cristhian Kapelinski, Diego KreutzSmall Language ModelsLarge Language Model Fine-Tuning

  47. Productionized Fairness Measurement Under Privacy Constraints

    Jun 25, 2026Osonde A. Osoba, Yuzi He, Saikrishna Badrinarayanan +3Differential Privacy

  48. Quantization in Federated Learning: Methods, Challenges and Future Directions

    Jun 25, 2026Farwa Ikram, Dipanwita Thakur, Antonella Guzzo +1Federated LearningQuantization

  49. Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

    Jun 25, 2026Naoki Nishikawa, Shokichi Takakura, Satoshi HasegawaDifferential PrivacyStochastic Gradient Descent

  50. Natural Identifiers for Privacy and Data Audits in Large Language Models

    Jun 23, 2026Lorenzo Rossi, Bartłomiej Marek, Franziska Boenisch +1Algorithm AuditingAI Privacy Risks and Protection

  51. On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA

    Jun 20, 2026Syamantak Kumar, Shourya Pandey, Purnamrita Sarkar +1Differential PrivacyPrincipal Component Analysis

  52. From Gradient Clipping to Structural Refinement: Improving DPSGD for Medical Image Segmentation

    Jun 19, 2026Shiva Parsarad, Parth Shandilya, Isabel WagnerMedical Image SegmentationDifferential Privacy

  53. AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification

    Jun 19, 2026Mohammadreza Riyazat, Eranga UkwattaLinear Contextual BanditsThompson Sampling

  54. Enhancing Differentially Private Mechanisms via Empirical Bayes

    Jun 19, 2026Minwoo Kim, Junyong Park, Sungkyu JungDifferential PrivacyBayesian

  55. Predictability as a Fine-Grained Measure for Privacy

    Jun 18, 2026Linda Lu, Karthik SridharanDifferential PrivacyAI Privacy Risks and Protection

  56. Private Learning with Public Feature Conditioning

    Jun 17, 2026Shuli Jiang, Walid Krichene, Nicolas MayorazDifferential PrivacyAI Privacy Risks and Protection

  57. Differential Privacy of Gaussian Process Posterior Sampling

    Jun 16, 2026Tomasz MaciazekDifferential PrivacyGaussian Process

  58. Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

    Jun 15, 2026Xiaolin Li, Ning Wang, Ninghui Li +1Differential PrivacyFederated Learning

  59. Cross-Silo De-Anonymization Under Local Differential Privacy: Threat Model, Phase Transition, and Coordination Necessity

    Jun 15, 2026Ziniu Liu, Aiping LiDifferential PrivacyAnonymization

  60. Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs

    Jun 15, 2026Md Abdullah Al Mamun, Ngoc Phu Doan, Pedram Zaree +2Language Model Evasion AttacksDifferential Privacy