Publications

Preprints and papers under review

G. Rioux, Z. Goldfeld, and K. Kato,
“Entropic Gromov-Wasserstein distances: stability and algorithms”.
Submitted, January 2024.

T. Wang and Z. Goldfeld,
“Neural entropic Gromov-Wasserstein alignment”.
Submitted, December 2023.

Z. Goldfeld, D. Patel, S. Sreekumar, and M. Wilde,
“Quantum neural estimation of entropies”.
Submitted, July 2023.

T. Nuradha, Z. Goldfeld, and M. Wilde,
“Quantum Pufferfish Privacy: a flexible privacy framework for quantum systems”.
Submitted, June 2023.

R. Sadhu, Z. Goldfeld, and K. Kato,
“Limit theorems for semidiscrete optimal transport maps”.
Submitted, March 2023.

S. Nietert, R. Cummings, and Z. Goldfeld,
“Robust estimation under the Wasserstein distance”.
Submitted, March 2023.

Z. Zhang, Z. Goldfeld, Y. Mroueh, and B. K. Sriperumbudur,
“Gromov-Wasserstein distances: entropic regularization, duality, and sample complexity”.
Submitted, December 2022.

R. Sadhu, Z. Goldfeld, and K. Kato,
“Limit distribution theory for the smooth 1-Wasserstein distance with applications”.
Preprint, February 2022.

Journal publications

Z. Goldfeld, K. Kato, G. Rioux, and R. Sadhu,
“Limit theorems for entropic optimal transport maps and the Sinkhorn divergence”.
Accepted to Electronic Journal of Statistic, January 2024.

Z. Goldfeld, K. Kato, G. Rioux, and R. Sadhu,
“Statistical inference with regularized optimal transport”.
Accepted to Information and Inference, November 2023.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Data-driven optimization of directed information over discrete alphabets”.
Accepted to the IEEE Transactions on Information Theory, November 2023.

Z. Goldfeld, K. Kato, S. Nietert, and G. Rioux,
“Limit distribution theory for smooth p-Wasserstein distances”.
Accepted to the Annals of Applied Probability, October 2023.

S. Sreekumar, Z. Goldfeld, and K. Kato,
“Limit distribution theory for f-divergences”.
IEEE Transactions on Information Theory, vol. 70, no. 2, pp. 1233-1267, February 2024.

T. Nuradha and Z. Goldfeld,
“Pufferfish privacy: an information-theoretic study”.
IEEE Transactions on Information Theory, vol. 69, no. 11, pp. 7336 - 7356, November 2023.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Neural estimation and optimization of directed information over continuous spaces”.
IEEE Transactions on Information Theory, vol. 69, no. 8, pp. 4777-4798, August 2023.

S. Sreekumar and Z. Goldfeld,
“Neural estimation of statistical divergences”.
Journal of Machine Learning Research (JMLR), vol. 23, iss. 126, pp. 1-75, March 2022.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model”.
IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1373-1399, March 2021.

S. Sreekumar, A. Bunin, Z. Goldfeld, H. H. Permuter, and S. Shamai,
“The secrecy capacity of cost-constrained wiretap channels”.
IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1433-1445, March 2021.

Z. Goldfeld, K. Greenewald, J. Niles-Weed, and Y. Polyanskiy,
“Convergence of smoothed empirical measures with applications to entropy estimation”.
IEEE Transactions on Information Theory, vol. 66, no. 7, pp. 4368-4391, July 2020.

Z. Goldfeld and Y. Polyanskiy,
“The information bottleneck problem and its applications in machine learning”.
IEEE Journal on Selected Areas in Information Theory (JSAIT) special issue on Deep Learning: Mathematical Foundations and Applications to Information Science, vol. 1, no. 1, pp. 19-38, May 2020.
[Invited paper]

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Wiretap channels with random states non-causally available at the encoder”.
IEEE Transactions on Information Theory, vol. 66, no. 3, pp. 1497-1519, March 2020.

Z. Goldfeld and K. Kato,
“Limit distribution theory for smooth Wasserstein distance with applications to generative modeling”.
Preprint, January 2020.

Z. Goldfeld and H. H. Permuter,
“Wiretap and Gelfand-Pinsker channels analogy and its applications”.
IEEE Transactions on Information Theory, vol. 65, no. 8, pp. 4979-4996, July 2019.

Z. Goldfeld and H. H. Permuter,
“MIMO Gaussian broadcast channels with common, private and confidential messages”.
IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2525-2544, April 2019.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy,
“Estimating information flow in neural networks”.
Preprint, October 2018.

A. Bunin, Z. Goldfeld, H. Permuter, S. Shamai, P. Cuff, P. Piantanida,
“Key and message semantic-security over state-dependent channels”.
IEEE Transctions on Information Forensics and Security, vol. 15, no. 1, pp. 1541-1556, July 2018.

Z. Goldfeld, G. Kramer, and H. H. Permuter,
“Broadcast channels with privacy leakage constraints”.
IEEE Transactions on Information Theory, vol. 63, no. 8, pp. 5138-5161, August 2017.

Z. Goldfeld, G. Kramer, H. H. Permuter, and P. Cuff,
“Strong secrecy for cooperative broadcast channels”.
IEEE Transactions on Information Theory, vol. 63, no. 1, pp. 469-495, January 2017.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Arbitrarily varying wiretap channels with type constrained states”.
IEEE Transactions on Information Theory, vol. 62, no. 12, pp. 7216-7244, September 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for wiretap channels of type II”.
IEEE Transactions on Information Theory, vol. 62, no. 7, pp. 3863-3879, July 2016.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Duality of a source coding problem and the semi-deterministic broadcast channel with rate-limited cooperation”.
IEEE Transactions on Information Theory, vol. 62, no. 5, pp. 2285-2307, May 2016.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“The finite-state MAC with cooperative encoders and delayed CSI”.
IEEE Transactions on Information Theory, vol. 60, no. 10, pp. 6181-6203, October 2014.

Book chapters and newsletters

Z. Aharoni, D. Tsur, Z. Goldfeld, and H. H. Permuter,
“Capacity Estimation using machine learning”.
Machine Learning and Wireless Communications, Cambridge University Press, June 2022.

I. B. Gattegno, Z. Goldfeld, and H. H. Permuter,
“Fourier-Motzkin elimination software for information theoretic inequalities”.
IEEE Information Theory Society Newsletter, vol 65, no. 3, pp 25-28, September 2015.
[Invited]

Conference and workshop

S. Nietert, Z. Goldfeld, and S. Shafieezadeh-Abadeh,
“Outlier-robust Wasserstein DRO”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2023), September 2023.

D. Tsur, Z. Goldfeld, K. Greenewald,
“Max-sliced mutual information”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2023), September 2023.

S. Sreekumar, Z. Goldfeld, and K. Kato,
“Limit distribution theory for KL divergence and applications to auditing differential privacy”.
In proceedings of the International Symposium on Information Theory (ISIT-2023), May 2023.

Z. Goldfeld, K. Greenewald, T. Nuradha, and G. Reeves,
“k-Sliced mutual information: a quantitative study of scalability with dimension”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2022), September 2022.

S. Nietert, R. Sadhu, Z. Goldfeld, and K. Kato,
“Statistical, robustness, and computational guarantees for sliced Wasserstein distances”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2022), September 2022.

T. Nuradha and Z. Goldfeld,
“An information-theoretic characterization of Pufferfish Privacy”.
In proceedings of the International Symposium on Information Theory (ISIT-2022), June-July 2022.

N. Raviv and Z. Goldfeld,
“Perfect subset privacy for data sharing and learning”.
In proceedings of the International Symposium on Information Theory (ISIT-2022), June-July 2022.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Optimizing estimated directed information over discrete alphabets”.
In proceedings of the International Symposium on Information Theory (ISIT-2022), June-July 2022.

S. Nietert, R. Cummings, and Z. Goldfeld,
“Outlier-robust optimal transport: duality, structure, and statistical analysis”.
In proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS-2022), March 2022.

Z. Zhang, Y. Mroueh, Z. Goldfeld, and B. K. Sriperumbudur,
“Cycle consistent probability divergences across different spaces”.
In proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS-2022), March 2022.

Z. Goldfeld and K. Greenewald,
“Sliced mutual information: a scalable measure of statistical dependence”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2021), September 2021.
[Spotlight]

S. Nietert, R. Cummings, and Z. Goldfeld,
“Outlier-robust optimal transport with applications to generative modeling and data privacy”.
In proceedings of the Theory and Practice of Differential Privacy Workshop at ICML (TPDP-2021), July 2021.

S. Nietert, Z. Goldfeld, and K. Kato,
“Smooth p-Wasserstein distance: structure, empirical approximation, and statistical applications”.
In proceedings of the International Conference on Machine Learning (ICML-2021), Online, July 2021.

S. Sreekumar and Z. Goldfeld,
“Soft-covering for constant-composition superposition codes”.
In proceedings of the International Symposium on Information Theory (ISIT-2021), Online, July 2021.

J. de Dieu Mutangana, R. Tandon, Z. Goldfeld, and S. Shamai,
“Wiretap channel with latent variable secrecy”.
In proceedings of the International Symposium on Information Theory (ISIT-2021), Online, July 2021.

S. Sreekumar, Z. Zhang, and Z. Goldfeld,
“Non-asymptotic performance guarantees for neural estimation of f-divergences”.
In proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS-2021), June 2021.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in interacting particle systems”.
In proceedings of Beyond IID in Information Theory Conference (BIID-2020), Online, November 2020.

Z. Goldfeld, K. Greenewald, and K. Kato,
“Asymptotic guarantees for generative modeling based on the smooth Wasserstein distance”.
In proceedings of the Conference on Neural Information Processing Systems (NeurIPS-2020), December 2020.

Z. Goldfeld and K. Kato,
“Limit distribution for smooth total variation and 𝛘²-divergence in high dimensions”.
In proceedings of the International Symposium on Information Theory (ISIT-2020), Online, June 2020.

Z. Aharoni, D. Tsur, Z. Goldfeld, and H. H. Permuter,
“Capacity of continuous channels with memory via directed information neural estimator”.
In proceedings of the International Symposium on Information Theory (ISIT-2020), Online, US, June 2020.

Z. Goldfeld and K. Greenewald,
“Gaussian-smoothed optimal transport: metric structure and statistical efficiency”.
In proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS-2020), vol. 108, pp. 3327-3337, Online, June 2020.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model at low temperature”.
In Proceedings of the International Symposium on Information Theory (ISIT-2019), Paris, France, July 2019.

Z. Goldfeld, K. Greenewald, J. Weed, and Y. Polyanskiy,
“Optimality of the plug-in estimator for differential entropy estimation under Gaussian convolutions”.
In Proceedings of the International Symposium on Information Theory (ISIT-2019), Paris, France, July 2019.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
In Proceedings of the International Conference on Machine Learning (ICML-2019), vol. 97, pp. 2299-2308, Long Beach, California, US, June 2019. [Supplement][Poster] [Video (Start: 34th min)]

Z. Goldfeld, K. Greenewald, Y. Polyanskiy, and Y. Wu,
“Differential entropy estimation under Gaussian noise”.
In Proceedings of the IEEE International Conference on the Science of Electrical Engineering (ICSEE-2018), Eilat, Israel, December 2018.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk. N. Nguyen, B. Kingsbury, and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
Presented at the 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton, Illinois, US, October 2018.
[Invited]

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model at zero temperature”.
In Proceedings of the International Symposium on Information Theory (ISIT-2018), Vail, Colorado, US, June 2018.

Z. Goldfeld and H. H. Permuter,
“A useful analogy between wiretap and Gelfand-Pinsker channels”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2018), Vail, Colorado, US, June 2018.

W. Huleihel, Z. Goldfeld, T. Koch, M. Madiman, and M. Medard,
“Design of discrete constellations for peak-power-limited complex Gaussian channels”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2018), Vail, Colorado, US, June 2018.

A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, P. Cuff, and P. Piantanida,
“Key-message security over state-dependent wiretap channels”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2018), Vail, Colorado, US, June 2018.

Z. Goldfeld and H. H. Permuter,
“Wiretap and Gelfand-Pinsker channels analogy and its applications”.
In Proceedings of the International Zurich Seminar on Communications (IZS-2018), Zurich, Switzerland, March 2018.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Physical layer security over wiretap channels with random parameters”.
In Proceedings of the 2017 International Symposium on Cyber Security Cryptography and Machine Learning (CSCML-2017), Beer-Sheva, Israel, June 2017.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“The Gelfand-Pinsker wiretap channel: strictly higher secrecy rates via a novel superposition code”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2017), Aachen, Germany, June 2017.

A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, P. Cuff, and P. Piantanida,
“Semantically-secured message-key trade-off over wiretap channels with random parameters”.
In Proceedings of the 2nd Workshop on Communication Security affiliated with EUROCRYPT, Paris, France, April 2017.
[Invited]

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Arbitrarily varying wiretap channels with type constrained states”.
In Proceedings of the IEEE GLOBECOM Workshop on Physical Layer Security, Washington DC, Washingtion, US, December 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Wiretap channels with random states non-causally available at the encoder”.
In Proceedings of the International Conference on the Science of Electrical Engineering (ICSEE-2016), Eilat, Israel, November 2016.

Z. Goldfeld,
“MIMO Gaussian broadcast channels with common, private and confidential messages”.
In Proceedings of the IEEE Information Theory Workshop (ITW-2016), Cambridge, UK, September 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for wiretap channels of type II”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2016), Barcelona, Spain, July 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for the physical layer via information theory”.
In Proceedings of the IEEE International Conference on Software Science, Technology, and Engineering (SwSTE-2016), Beer-Sheva, Israel, June 2016.

Z. Goldfeld, G. Kramer, H. H. Permuter, and P. Cuff,
“Strong-secrecy for cooperative broadcast channels”.
In Proceedings of the International Zurich Seminar on Communications (IZS-2016), Zurich, Switzerland, March 2016.

Z. Goldfeld, G. Kramer, and H. H. Permuter,
“Cooperative broadcast channels with a secret message”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2015), Hong-Kong, June 2015.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Broadcast channels with cooperation: capacity and duality for the semi-deterministic case”.
In Proceedings of the IEEE Information Theory Workshop (ITW-2015), Jerusalem, Israel, May 2015.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Semi-deterministic broadcast channels with cooperation”.
In Proceedings of IEEE 28-th Convention of Electrical and Electronics Engineers in Israel (IEEEI-2014), Eilat, Israel, December 2014.
[Best student paper award]

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“The Ahlswede-Korner coordination problem with one-sided encoder cooperation”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2014), Honolulu, Hawaii, US, June-July 2014.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“The diagonal vector Gaussian finite state MAC with cooperative encoders and delayed CSI”.
In Proceedings of IEEE 27-th Convention of Electrical and Electronics Engineers in Israel (IEEEI-2012), Eilat, Israel, November 2012.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“Capacity region of finite state MAC with cooperative encoders and delayed CSI”.
In Proceedings of the IEEE International Symposium on Information Theory (ISIT-2013), Boston, Massachusetts, US, July 2012.