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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

Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance JMLR 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation ACL 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024
The Limits of Differential Privacy in Online Learning NIPS 2024
Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024
On Convex Optimization with Semi-Sensitive Features COLT 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training ACL 2024
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning NIPS 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
On provable privacy vulnerabilities of graph representations NIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024
Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks NIPS 2024
Private Language Models via Truncated Laplacian Mechanism EMNLP 2024
On Differentially Private Subspace Estimation in a Distribution-Free Setting NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024