Differential Privacy

Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022 Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022 User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning Interspeech 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification ICLR 2021 Differentially Private and Communication Efficient Collaborative Learning AAAI 2021 Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021 Differentially-Private Clustering of Easy Instances ICML 2021 Differentially Private Clustering via Maximum Coverage AAAI 2021 Differentially Private Correlation Clustering ICML 2021 Differentially Private Densest Subgraph Detection ICML 2021 Differentially Private Empirical Risk Minimization under the Fairness Lens NeurIPS 2021 Differentially Private k-Means via Exponential Mechanism and Max Cover AAAI 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021 Differentially Private Multi-Armed Bandits in the Shuffle Model NeurIPS 2021 Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021 Differentially Private Pairwise Learning Revisited IJCAI 2021 Differentially Private Quantiles ICML 2021 Differentially Private Sliced Wasserstein Distance ICML 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Fast and Memory Efficient Differentially Private-SGD via JL Projections NeurIPS 2021 Federated f-Differential Privacy AISTATS 2021