privacy-preserving learning

Differentially Private Optimization on Large Model at Small Cost ICML 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 Efficient Privacy-Preserving Stochastic Nonconvex Optimization UAI 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Learning under Label Proportions for Text Classification EMNLP 2023 Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023 Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023 Privacy-preserving Representation Learning for Speech Understanding Interspeech 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NeurIPS 2023 APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022 Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022 Encrypted Linear Contextual Bandit AISTATS 2022 Federated Pruning: Improving Neural Network Efficiency with Federated Learning Interspeech 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022 Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs IJCAI 2022 How reparametrization trick broke differentially-private text representation learning ACL 2022 PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval AAAI 2022 PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022 Sentence-level Privacy for Document Embeddings ACL 2022 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NeurIPS 2022