privacy-preserving learning

Constrained differentially private federated learning for low-bandwidth devices UAI 2021 Deep Learning with Label Differential Privacy NeurIPS 2021 Differentially Private Learning with Adaptive Clipping NeurIPS 2021 Differentially Private Multi-Armed Bandits in the Shuffle Model NeurIPS 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021 Fast and Memory Efficient Differentially Private-SGD via JL Projections NeurIPS 2021 Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NeurIPS 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 Information Obfuscation of Graph Neural Networks ICML 2021 Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ACL 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Multiclass versus Binary Differentially Private PAC Learning NeurIPS 2021 Parameter-free HE-friendly Logistic Regression NeurIPS 2021 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 Improving On-Device Speaker Verification Using Federated Learning with Privacy Interspeech 2020 Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020 Learning discrete distributions: user vs item-level privacy NeurIPS 2020 Learning Rate Adaptation for Differentially Private Learning AISTATS 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization NeurIPS 2020 Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020