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Methodology
← Security & Privacy
Security & Privacy
›
Differential Privacy
409 directly classified papers
Papers per year
2008: 1
2010: 2
2011: 1
2012: 6
2013: 7
2014: 5
2015: 8
2016: 4
2017: 9
2018: 17
2019: 27
2020: 20
2021: 44
2022: 81
2023: 74
2024: 77
2025: 26
Papers
A Joint Exponential Mechanism For Differentially Private Top-$k$
ICML 2022
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
ICML 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
ICML 2022
Differentially Private Approximate Quantiles
ICML 2022
Transfer Learning In Differential Privacy’s Hybrid-Model
ICML 2022
Adaptive Data Analysis with Correlated Observations
ICML 2022
Differentially Private Maximal Information Coefficients
ICML 2022
Private Adaptive Optimization with Side information
ICML 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
ICML 2022
Differentially Private Community Detection for Stochastic Block Models
ICML 2022
Tight and Robust Private Mean Estimation with Few Users
ICML 2022
Improved Regret for Differentially Private Exploration in Linear MDP
ICML 2022
FriendlyCore: Practical Differentially Private Aggregation
ICML 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
IJCAI 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
IJCAI 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
INTERSPEECH 2022
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation
AAAI 2022
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
AAAI 2022
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks
EMNLP 2022
Large-Scale Differentially Private BERT
EMNLP 2022
Privacy-Preserving Models for Legal Natural Language Processing
EMNLP 2022
Subspace Differential Privacy
AAAI 2022
Private Rank Aggregation in Central and Local Models
AAAI 2022
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
AAAI 2022
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