Ziv Goldfeld

IEEE Trans. Inf. Theory, February, 2024

Data-Driven Optimization of Directed Information Over Discrete Alphabets.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2024

2023

Pufferfish Privacy: An Information-Theoretic Study.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, November, 2023

Neural Estimation and Optimization of Directed Information Over Continuous Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, August, 2023

Quantum Neural Estimation of Entropies.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems.

[BibT_eX]

[DOI]

Mark M. Wilde

CoRR, 2023

Robust Estimation under the Wasserstein Distance.

[BibT_eX]

[DOI]

Rachel Cummings

CoRR, 2023

Max-Sliced Mutual Information.

[BibT_eX]

[DOI]

Dor Tsur

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Outlier-Robust Wasserstein DRO.

[BibT_eX]

[DOI]

Soroosh Shafiee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Limit Distribution Theory for KL divergence and Applications to Auditing Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Neural Estimation of Statistical Divergences.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances.

[BibT_eX]

[DOI]

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

$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension.

[BibT_eX]

[DOI]

Galen Reeves

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

Optimizing Estimated Directed Information over Discrete Alphabets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Perfect Subset Privacy for Data Sharing and Learning.

[BibT_eX]

[DOI]

Netanel Raviv

Proceedings of the IEEE International Symposium on Information Theory, 2022

An Information-Theoretic Characterization of Pufferfish Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Cycle Consistent Probability Divergences Across Different Spaces.

[BibT_eX]

[DOI]

Zhengxin Zhang

Youssef Mroueh

Bharath K. Sriperumbudur

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis.

[BibT_eX]

[DOI]

Rachel Cummings

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The Secrecy Capacity of Cost-Constrained Wiretap Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Information Storage in the Stochastic Ising Model.

[BibT_eX]

[DOI]

Guy Bresler

IEEE Trans. Inf. Theory, 2021

Sliced Mutual Information: A Scalable Measure of Statistical Dependence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Soft-covering via Constant-composition Superposition codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Wiretap Channel with Latent Variable Secrecy.

[BibT_eX]

[DOI]

Jean de Dieu Mutangana

Ravi Tandon

Shlomo Shamai Shitz

Proceedings of the IEEE International Symposium on Information Theory, 2021

Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences.

[BibT_eX]

[DOI]

Zhengxin Zhang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Convergence of Smoothed Empirical Measures With Applications to Entropy Estimation.

[BibT_eX]

[DOI]

Jonathan Niles-Weed

IEEE Trans. Inf. Theory, 2020

Wiretap Channels With Random States Non-Causally Available at the Encoder.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Key and Message Semantic-Security Over State-Dependent Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

The Information Bottleneck Problem and its Applications in Machine Learning.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Limit Distributions for Smooth Total Variation and χ<sup>2</sup>-Divergence in High Dimensions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Capacity of Continuous Channels with Memory via Directed Information Neural Estimator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency.

[BibT_eX]

[DOI]

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

2019

Wiretap and Gelfand-Pinsker Channels Analogy and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

MIMO Gaussian Broadcast Channels With Common, Private, and Confidential Messages.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions.

[BibT_eX]

[DOI]

Jonathan Weed

Proceedings of the IEEE International Symposium on Information Theory, 2019

Information Storage in the Stochastic Ising Model at Low Temperature.

[BibT_eX]

[DOI]

Guy Bresler

Proceedings of the IEEE International Symposium on Information Theory, 2019

Estimating Information Flow in Deep Neural Networks.

[BibT_eX]

[DOI]

Ewout van den Berg

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Estimating Information Flow in Neural Networks.

[BibT_eX]

[DOI]

Ewout van den Berg

CoRR, 2018

Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels.

[BibT_eX]

[DOI]

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

A Useful Analogy Between Wiretap and Gelfand - Pinsker Channels.

[BibT_eX]

[DOI]

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

Information Storage in the Stochastic Ising Model at Zero Temperature.

[BibT_eX]

[DOI]

Guy Bresler

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

Key-Message Security over State-Dependent Wiretap Channels.

[BibT_eX]

[DOI]

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

2017

Strong Secrecy for Cooperative Broadcast Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Broadcast Channels With Privacy Leakage Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Semantically-Secured Message-Key Trade-off over Wiretap Channels with Random Parameters.

[BibT_eX]

[DOI]

CoRR, 2017

The Gelfand-Pinsker wiretap channel: Higher secrecy rates via a novel superposition code.

[BibT_eX]

[DOI]

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

Physical Layer Security over Wiretap Channels with Random Parameters.

[BibT_eX]

[DOI]

Paul W. Cuff

Proceedings of the Cyber Security Cryptography and Machine Learning, 2017

2016

Duality of a Source Coding Problem and the Semi-Deterministic Broadcast Channel With Rate-Limited Cooperation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Arbitrarily Varying Wiretap Channels With Type Constrained States.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Semantic-Security Capacity for Wiretap Channels of Type II.

[BibT_eX]

[DOI]

Paul W. Cuff

IEEE Trans. Inf. Theory, 2016

Fourier-Motzkin Elimination Software for Information Theoretic Inequalities.

[BibT_eX]

[DOI]

Ido B. Gattegno

CoRR, 2016

Semantic-Security Capacity for the Physical Layer via Information Theory.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Software Science, 2016

MIMO Gaussian broadcast channels with common, private and confidential messages.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

2015

Broadcast channels with cooperation: Capacity and duality for the semi-deterministic case.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Cooperative broadcast channels with a secret message.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

The Finite State MAC With Cooperative Encoders and Delayed CSI.

[BibT_eX]

[DOI]

Benjamin M. Zaidel

IEEE Trans. Inf. Theory, 2014

The Ahlswede-Körner coordination problem with one-sided encoder cooperation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2012

Capacity region of the finite state MAC with cooperative encoders and delayed CSI.

[BibT_eX]

[DOI]