← Keywords

differential privacy

1010 papers

Explore in graph

Also known as

DPDL DP-SGD DP DPSGD MDP LDP

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) sample complexity (1158) privacy preservation (376) privacy-preserving learning (115) regret bound (1918) privacy-preserving machine learning (99) large language model (12755) exponential mechanism (30) online learning (1770)

Papers

$k$-Means Clustering with Distance-Based Privacy NIPS 2023
Private Distribution Learning with Public Data: The View from Sample Compression NIPS 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier CVPR 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models NIPS 2023
On Private and Robust Bandits NIPS 2023
Incentives in Private Collaborative Machine Learning NIPS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models ICML 2023
TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023
Why Is Public Pretraining Necessary for Private Model Training? ICML 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime ICML 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NIPS 2023
User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NIPS 2023
The communication cost of security and privacy in federated frequency estimation AISTATS 2023
Offline Reinforcement Learning with Differential Privacy NIPS 2023
Robust and private stochastic linear bandits ICML 2023
Streaming Submodular Maximization with Differential Privacy ICML 2023
Split, count, and share: a differentially private set intersection cardinality estimation protocol UAI 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NIPS 2023