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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 Condorcet Voting AAAI 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy NIPS 2023
Algorithmically Effective Differentially Private Synthetic Data COLT 2023
Differentially Private Fair Division AAAI 2023
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023
The Bayesian Stability Zoo NIPS 2023
Faster approximate subgraph counts with privacy NIPS 2023
Two Views of Constrained Differential Privacy: Belief Revision and Update AAAI 2023
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses ALT 2023
Privacy Amplification by Decentralization AISTATS 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Differentially Private Instance Encoding against Privacy Attacks NAACL 2022
Selective Differential Privacy for Language Modeling NAACL 2022
Provably Confidential Language Modelling NAACL 2022
Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Training Text-to-Text Transformers with Privacy Guarantees NAACL 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning INTERSPEECH 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting COLING 2022
Differentially Private Regression with Unbounded Covariates AISTATS 2022
Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022
Differentially Private Community Detection for Stochastic Block Models ICML 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NIPS 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy JMLR 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NIPS 2022