Marco Gaboardi
14 papers · 2014–2023 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
π¬
Deep Specialist
(14)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(50)
Top co-authors
Research topics
Keywords
differential privacy
(9)
local differential privacy
(5)
sample complexity
(4)
hypothesis testing
(2)
privacy-preserving learning
(2)
mean estimation
(2)
goodness of fit
(2)
independence testing
(2)
polynomial approximation
(2)
empirical risk minimization
(2)
generalized linear model
(2)
privacy amplification
(2)
sub-gaussian distribution
(2)
statistical hypothesis testing
(1)
multi-class classification
(1)
renyi divergence
(1)
pac learning
(1)
statistical learning
(1)
mahalanobis distance
(1)
diffusion process
(1)
Papers
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data
JMLR 2023
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
NeurIPS 2021
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data
ALT 2021
Multiclass versus Binary Differentially Private PAC Learning
NeurIPS 2021
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy
JMLR 2020
Hypothesis Testing Interpretations and Renyi Differential Privacy
AISTATS 2020
Facility Location Problem in Differential Privacy Model Revisited
NeurIPS 2019
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
AISTATS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms
NeurIPS 2019
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
NeurIPS 2018
Local Private Hypothesis Testing: Chi-Square Tests
ICML 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
NeurIPS 2018
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
ICML 2016
Dual Query: Practical Private Query Release for High Dimensional Data
ICML 2014