Differential Privacy

Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning NeurIPS 2024 Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024 Federated Experiment Design under Distributed Differential Privacy AISTATS 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024 Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024 Fixed-Budget Differentially Private Best Arm Identification ICLR 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Locally Differentially Private In-Context Learning COLING 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Multi-Dimensional Fair Federated Learning AAAI 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NeurIPS 2024 On Convex Optimization with Semi-Sensitive Features COLT 2024 On Differentially Private Federated Linear Contextual Bandits ICLR 2024