differential privacy

1010 papers

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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

Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023

Multi-Agent Best Arm Identification with Private Communications ICML 2023

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023

Effectively Using Public Data in Privacy Preserving Machine Learning ICML 2023

Driving Context into Text-to-Text Privatization ACL 2023

TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023

DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023

Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023

Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning ICML 2023

Private Statistical Estimation of Many Quantiles ICML 2023

Multi-Task Differential Privacy Under Distribution Skew ICML 2023

Learning-augmented private algorithms for multiple quantile release ICML 2023

Statistical Indistinguishability of Learning Algorithms ICML 2023

The Price of Differential Privacy under Continual Observation ICML 2023

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees ICML 2023

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter UAI 2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023

Differentially Private Condorcet Voting AAAI 2023

Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023

Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation ICML 2023

Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023

From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023

Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023

Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023

Streaming Submodular Maximization with Differential Privacy ICML 2023