Showing 1–13 of 13 results
/ Date/ Name
Jan 17, 2018Blind De-anonymization Attacks using Social NetworksFeb 20, 2017DEEProtect: Enabling Inference-based Access Control on Mobile Sensing ApplicationsJan 22, 2020Overcoming Noisy and Irrelevant Data in Federated LearningApr 13, 2022Joint Coreset Construction and Quantization for Distributed Machine LearningOct 14, 2021AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential PrivacyMay 26, 2023Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New AlgorithmsAug 31, 2017RON-Gauss: Enhancing Utility in Non-Interactive Private Data ReleaseMar 15, 2017Quantification of De-anonymization Risks in Social NetworksFeb 19, 2025GneissWeb: Preparing High Quality Data for LLMs at ScaleJul 6, 2020Sharing Models or Coresets: A Study based on Membership Inference AttackFeb 8, 2021Communication-efficient k-Means for Edge-based Machine LearningJul 2, 2024LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisJan 7, 2015LinkMirage: How to Anonymize Links in Dynamic Social Systems