privacy-preserving learning

PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 The Discrete Gaussian for Differential Privacy NeurIPS 2020 Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019 Differentially Private Learning of Geometric Concepts ICML 2019 Distributed Collaborative Feature Selection Based on Intermediate Representation IJCAI 2019 Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin ICML 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 Privacy-preserving Neural Representations of Text EMNLP 2018 DP-EM: Differentially Private Expectation Maximization AISTATS 2017 See without looking: joint visualization of sensitive multi-site datasets IJCAI 2017 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Privacy-Preserving Speech Analytics for Automatic Assessment of Student Collaboration Interspeech 2016 Private Causal Inference AISTATS 2016 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 Privacy Aware Learning NeurIPS 2012 Differentially Private Empirical Risk Minimization JMLR 2011 Privacy-preserving logistic regression NeurIPS 2008