Shahab Asoodeh

Huanyu Zhang

IEEE J. Sel. Areas Inf. Theory, 2024

Exactly Minimax-Optimal Locally Differentially Private Sampling.

[BibT_eX]

[DOI]

Hyun-Young Park

Si-Hyeon Lee

CoRR, 2024

$\mathrm{E}_{\gamma}$-Mixing Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Differentially Private Fair Binary Classifications.

[BibT_eX]

[DOI]

Hrad Ghoukasian

Proceedings of the IEEE International Symposium on Information Theory, 2024

On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Differential-Privacy Capacity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity.

[BibT_eX]

[DOI]

Alireza Fathollah Pour

Hassan Ashtiani

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses.

[BibT_eX]

[DOI]

CoRR, 2023

Strong Data Processing Inequalities for Locally Differentially Private Mechanisms.

[BibT_eX]

[DOI]

Behnoosh Zamanlooy

Proceedings of the IEEE International Symposium on Information Theory, 2023

The Cardinality Bound on the Information Bottleneck Representations is Tight.

[BibT_eX]

[DOI]

Etam Benger

Jun Chen

Proceedings of the IEEE International Symposium on Information Theory, 2023

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

The Saddle-Point Method in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

The Saddle-Point Accountant for Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Distribution Simulation Under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 17th Canadian Workshop on Information Theory, 2022

2021

Three Variants of Differential Privacy: Lossless Conversion and Applications.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Local Differential Privacy Is Equivalent to Contraction of E<sub>γ</sub>-Divergence.

[BibT_eX]

[DOI]

Maryam Aliakbarpour

CoRR, 2021

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Differentially Private Federated Learning: An Information-Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence.

[BibT_eX]

[DOI]

Maryam Aliakbarpour

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Bottleneck Problems: An Information and Estimation-Theoretic View.

[BibT_eX]

[DOI]

Entropy, 2020

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients.

[BibT_eX]

[DOI]

CoRR, 2020

Bottleneck Problems: Information and Estimation-Theoretic View.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially Private Mechanisms for Count Queries.

[BibT_eX]

[DOI]

Parastoo Sadeghi

Flávio du Pin Calmon

CoRR, 2020

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Privacy Amplification of Iterative Algorithms via Contraction Coefficients.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

Proceedings of the IEEE International Symposium on Information Theory, 2020

Model Projection: Theory and Applications to Fair Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Obfuscation via Information Density Estimation.

[BibT_eX]

[DOI]

Hsiang Hsu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Estimation Efficiency Under Privacy Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Information-Theoretic Privacy Watchdogs.

[BibT_eX]

[DOI]

Hsiang Hsu

Proceedings of the IEEE International Symposium on Information Theory, 2019

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the Noise-Information Separation of a Private Principal Component Analysis Scheme.

[BibT_eX]

[DOI]

Serban Teodor Belinschi

James A. Mingo

CoRR, 2018

Generalizing Bottleneck Problems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

A Tamper-Free Semi-Universal Communication System for Deletion Channels.

[BibT_eX]

[DOI]

Yi Huang

Ishanu Chattopadhyay

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Curvature of Hypergraphs via Multi-Marginal Optimal Transport.

[BibT_eX]

[DOI]

Tingran Gao

James Evans

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Privacy-aware guessing efficiency.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Information Extraction Under Privacy Constraints.

[BibT_eX]

[DOI]

Inf., 2016

Privacy-aware MMSE estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Almost Perfect Privacy for Additive Gaussian Privacy Filters.

[BibT_eX]

[DOI]

Proceedings of the Information Theoretic Security - 9th International Conference, 2016

2015

On maximal correlation, mutual information and data privacy.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

Lossless secure source coding: Yamamoto's setting.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Notes on information-theoretic privacy.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

An achievability proof for the lossy coding of Markov sources with feed-forward.

[BibT_eX]

[DOI]

Proceedings of the 13th Canadian Workshop on Information Theory, 2013

2010

It takes half the energy of a photon to send one bit reliably on the Poisson channel with feedback

[BibT_eX]

[DOI]

Amos Lapidoth

Ligong Wang

CoRR, 2010

New stopping criterion for turbo code in the presence of SNR mismatch.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Ultra Modern Telecommunications, 2010

2007

A novel algorithm for CFO estimation in OFDM-based systems.

[BibT_eX]

Alireza Rezazade

Proceedings of the Sixth IASTED International Conference on Communications, 2007

On power control in cellular communication using ANFIS.

[BibT_eX]