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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

Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024
Wasserstein Differential Privacy AAAI 2024
A Unified Characterization of Private Learnability via Graph Theory COLT 2024
The Limits of Differential Privacy in Online Learning NIPS 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024
Differentially Private Natural Language Models: Recent Advances and Future Directions EACL 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024
Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian Noise COLT 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Locally Differentially Private In-Context Learning COLING 2024
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NIPS 2024
DP-NMT: Scalable Differentially Private Machine Translation EACL 2024
Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
Private Geometric Median NIPS 2024
On Convex Optimization with Semi-Sensitive Features COLT 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations NIPS 2024
Differentially Private Video Activity Recognition WACV 2024
Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance JMLR 2024