Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Keywords
differential privacy
1010 papers
Explore in graph
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
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
ICML 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
NIPS 2023
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
ICML 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
ICCV 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
ICML 2023
Secure Federated Correlation Test and Entropy Estimation
ICML 2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
INTERSPEECH 2023
A Privacy-Friendly Approach to Data Valuation
NIPS 2023
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
ICML 2023
The Target-Charging Technique for Privacy Analysis across Interactive Computations
NIPS 2023
Generating Private Synthetic Data with Genetic Algorithms
ICML 2023
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
NIPS 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
NIPS 2023
Differentially Private Optimization on Large Model at Small Cost
ICML 2023
Unbounded Differentially Private Quantile and Maximum Estimation
NIPS 2023
On the Gini-impurity Preservation For Privacy Random Forests
NIPS 2023
Privacy Auditing with One (1) Training Run
NIPS 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
NIPS 2023
Differentially Private Approximate Near Neighbor Counting in High Dimensions
NIPS 2023
One-Shot Federated Conformal Prediction
ICML 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Tight Data Access Bounds for Private Top-$k$ Selection
ICML 2023
Fully-Adaptive Composition in Differential Privacy
ICML 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
Private Federated Learning with Autotuned Compression
ICML 2023
<
1
…
10
11
12
…
41
>