Showing 1–20 of 142 results
/ Date/ Name
Apr 14, 2014Design of Policy-Aware Differentially Private AlgorithmsJul 2, 2018An Algorithmic Framework For Differentially Private Data Analysis on Trusted ProcessorsMar 5, 2021Competitive Information Design for Pandora's BoxDec 13, 2013Blowfish Privacy: Tuning Privacy-Utility Trade-offs using PoliciesMar 24, 2018Comparing Population Means under Local Differential Privacy: with Significance and PowerSep 25, 2019Linear and Range Counting under Metric-based Local Differential PrivacyDec 5, 2017Collecting Telemetry Data PrivatelyDec 31, 2011A Statistical Approach Towards Robust Progress EstimationAug 30, 2019Improving Utility and Security of the Shuffler-based Differential PrivacyJan 9, 2021FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational DataMar 12, 2011Fast Set Intersection in MemorySep 4, 2014Finding Patterns in a Knowledge Base using Keywords to Compose Table AnswersNov 12, 2023Tunable Soft Prompts are Messengers in Federated LearningOct 9, 2023ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended)Apr 7, 2020Practical Data Poisoning Attack against Next-Item RecommendationJul 29, 2020FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular DataMay 28, 2021CausCF: Causal Collaborative Filtering for RecommendationEffect EstimationMay 20, 2021Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement LearningApr 12, 2022FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph LearningApr 16, 2017Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm