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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

Differentially Private Community Detection for Stochastic Block Models ICML 2022
Private Set Generation with Discriminative Information NIPS 2022
Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error AAAI 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy JMLR 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022
Incorporating Item Frequency for Differentially Private Set Union AAAI 2022
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022
Private Rank Aggregation in Central and Local Models AAAI 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022
(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022
Differential privacy and robust statistics in high dimensions COLT 2022
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown AISTATS 2022
The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2022
Differentially private SGDA for minimax problems UAI 2022
Differentially private multi-party data release for linear regression UAI 2022
How unfair is private learning? UAI 2022
Private Adaptive Optimization with Side information ICML 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022
SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022
Federated online clustering of bandits UAI 2022
Balancing utility and scalability in metric differential privacy UAI 2022
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits UAI 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data ICML 2022
Privacy-aware compression for federated data analysis UAI 2022