conftrace_

differential privacy

1,207 papers

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Also known as

DP

Co-occurring keywords · papers mentioning both

federated learning (146) stochastic gradient descent (72) sample complexity (68) regret bound (53) privacy-preserving learning (49) privacy preservation (47) privacy-preserving machine learning (43) privacy-utility trade-off (42) synthetic data (37) large language model (36)

Papers

Improved Communication-Privacy Trade-offs in L_2 Mean Estimation under Streaming Differential Privacy ICML 2024 Improving LoRA in Privacy-preserving Federated Learning 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 Instance-Specific Asymmetric Sensitivity in Differential Privacy NeurIPS 2024 Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract) AAAI 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 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024 Locally Differentially Private In-Context Learning COLING 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Mean Estimation in the Add-Remove Model of Differential Privacy ICML 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples ALT 2024 Multi-Dimensional Fair Federated Learning AAAI 2024 Multitask Online Learning: Listen to the Neighborhood Buzz AISTATS 2024 Nearly Tight Black-Box Auditing of Differentially Private Machine Learning NeurIPS 2024 Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning ICML 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 No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024 Not All Learnable Distribution Classes are Privately Learnable ALT 2024