Showing 1–20 of 28 results
/ Date/ Name
Jul 26, 2022Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human PerceptionMar 23, 2021On the global identifiability of logistic regression models with misclassified outcomesAug 27, 2021Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning ApproachJan 30, 2025U-aggregation: Unsupervised Aggregation of Multiple Learning AlgorithmsJul 2, 2020Testing for publication bias in meta-analysis under Copas selection modelNov 13, 2023Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition ModelsSep 12, 2024Federated One-Shot Ensemble ClusteringMar 25, 2020Missing at Random or Not: A Semiparametric Testing ApproachDec 20, 2019Heterogeneity-aware and communication-efficient distributed statistical inferenceFeb 19, 2022SODA: Site Object Detection dAtaset for Deep Learning in ConstructionOct 23, 2022Robust angle-based transfer learning in high dimensionsAug 28, 2023Data fusion using weakly aligned sourcesMay 24, 2025Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box FrameworkDec 17, 2021Federated Adaptive Causal Estimation (FACE) of Target Treatment EffectsJun 6, 2022Generalized Federated Learning via Sharpness Aware MinimizationDec 29, 2025PDA in Action: Ten Principles for High-Quality Multi-Site Clinical Evidence GenerationJul 5, 2023Multi-Task Learning with Summary StatisticsDec 18, 2025Distributed inference for heterogeneous mixture models using multi-site dataMar 21, 2024A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart SurgeryDec 2, 2021Context-Aware Online Client Selection for Hierarchical Federated Learning