Capacity region of the finite state MAC with cooperative encoders and delayed CSI. - Ziv Goldfeld; Haim H. Permuter; Benjamin M. Zaidel (ISIT, 2012)

The Ahlswede-Körner coordination problem with one-sided encoder cooperation. - Ziv Goldfeld; Haim H. Permuter; Gerhard Kramer (ISIT, 2014)

The Finite State MAC With Cooperative Encoders and Delayed CSI. - Ziv Goldfeld; Haim H. Permuter; Benjamin M. Zaidel (IEEE Trans. Inf. Theory, 2014)

Cooperative broadcast channels with a secret message. - Ziv Goldfeld; Gerhard Kramer; Haim H. Permuter (ISIT, 2015)

Broadcast channels with cooperation: Capacity and duality for the semi-deterministic case. - Ziv Goldfeld; Haim H. Permuter; Gerhard Kramer (ITW, 2015)

MIMO Gaussian broadcast channels with common, private and confidential messages. - Ziv Goldfeld (ITW, 2016)

Semantic-Security Capacity for the Physical Layer via Information Theory. - Ziv Goldfeld; Paul Cuff; Haim H. Permuter (SwSTE, 2016)

Fourier-Motzkin Elimination Software for Information Theoretic Inequalities. - Ido B. Gattegno; Ziv Goldfeld; Haim H. Permuter (CoRR, 2016)

Semantic-Security Capacity for Wiretap Channels of Type II. - Ziv Goldfeld; Paul W. Cuff; Haim H. Permuter (IEEE Trans. Inf. Theory, 2016)

Arbitrarily Varying Wiretap Channels With Type Constrained States. - Ziv Goldfeld; Paul Cuff; Haim H. Permuter (IEEE Trans. Inf. Theory, 2016)

Duality of a Source Coding Problem and the Semi-Deterministic Broadcast Channel With Rate-Limited Cooperation. - Ziv Goldfeld; Haim H. Permuter; Gerhard Kramer (IEEE Trans. Inf. Theory, 2016)

Physical Layer Security over Wiretap Channels with Random Parameters. - Ziv Goldfeld; Paul W. Cuff; Haim H. Permuter (CSCML, 2017)

The Gelfand-Pinsker wiretap channel: Higher secrecy rates via a novel superposition code. - Ziv Goldfeld; Paul Cuff; Haim H. Permuter (ISIT, 2017)

Semantically-Secured Message-Key Trade-off over Wiretap Channels with Random Parameters. - Alexander Bunin; Ziv Goldfeld; Haim H. Permuter; Shlomo Shamai; Paul Cuff; Pablo Piantanida (CoRR, 2017)

Broadcast Channels With Privacy Leakage Constraints. - Ziv Goldfeld; Gerhard Kramer; Haim H. Permuter (IEEE Trans. Inf. Theory, 2017)

Strong Secrecy for Cooperative Broadcast Channels. - Ziv Goldfeld; Gerhard Kramer; Haim H. Permuter; Paul Cuff (IEEE Trans. Inf. Theory, 2017)

Key-Message Security over State-Dependent Wiretap Channels. - Alexander Bunin; Ziv Goldfeld; Haim H. Permuter; Shlomo Shamai; Paul Cuff; Pablo Piantanida (ISIT, 2018)

Information Storage in the Stochastic Ising Model at Zero Temperature. - Ziv Goldfeld; Guy Bresler; Yury Polyanskiy (ISIT, 2018)

A Useful Analogy Between Wiretap and Gelfand - Pinsker Channels. - Ziv Goldfeld; Haim H. Permuter (ISIT, 2018)

Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels. - Wasim Huleihel; Ziv Goldfeld; Tobias Koch 001; Mokshay M. Madiman; Muriel Médard (ISIT, 2018)

Estimating Information Flow in Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (CoRR, 2018)

Estimating Information Flow in Deep Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (ICML, 2019)

Information Storage in the Stochastic Ising Model at Low Temperature. - Ziv Goldfeld; Guy Bresler; Yury Polyanskiy (ISIT, 2019)

Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions. - Ziv Goldfeld; Kristjan H. Greenewald; Jonathan Weed; Yury Polyanskiy (ISIT, 2019)

MIMO Gaussian Broadcast Channels With Common, Private, and Confidential Messages. - Ziv Goldfeld; Haim H. Permuter (IEEE Trans. Inf. Theory, 2019)

Wiretap and Gelfand-Pinsker Channels Analogy and Its Applications. - Ziv Goldfeld; Haim H. Permuter (IEEE Trans. Inf. Theory, 2019)

Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency. - Ziv Goldfeld; Kristjan H. Greenewald (AISTATS, 2020)

Capacity of Continuous Channels with Memory via Directed Information Neural Estimator. - Ziv Aharoni; Dor Tsur; Ziv Goldfeld; Haim H. Permuter (ISIT, 2020)

Limit Distributions for Smooth Total Variation and χ2-Divergence in High Dimensions. - Ziv Goldfeld; Kengo Kato (ISIT, 2020)

Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance. - Ziv Goldfeld; Kristjan H. Greenewald; Kengo Kato (NeurIPS, 2020)

The Information Bottleneck Problem and its Applications in Machine Learning. - Ziv Goldfeld; Yury Polyanskiy (IEEE J. Sel. Areas Inf. Theory, 2020)

Key and Message Semantic-Security Over State-Dependent Channels. - Alexander Bunin; Ziv Goldfeld; Haim H. Permuter; Shlomo Shamai Shitz; Paul Cuff; Pablo Piantanida (IEEE Trans. Inf. Forensics Secur., 2020)

Wiretap Channels With Random States Non-Causally Available at the Encoder. - Ziv Goldfeld; Paul Cuff; Haim H. Permuter (IEEE Trans. Inf. Theory, 2020)

Convergence of Smoothed Empirical Measures With Applications to Entropy Estimation. - Ziv Goldfeld; Kristjan H. Greenewald; Jonathan Niles-Weed; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2020)

Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences. - Sreejith Sreekumar; Zhengxin Zhang; Ziv Goldfeld (AISTATS, 2021)

Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications. - Sloan Nietert; Ziv Goldfeld; Kengo Kato (ICML, 2021)

Wiretap Channel with Latent Variable Secrecy. - Jean de Dieu Mutangana; Ravi Tandon; Ziv Goldfeld; Shlomo Shamai Shitz (ISIT, 2021)

Soft-covering via Constant-composition Superposition codes. - Sreejith Sreekumar; Ziv Goldfeld (ISIT, 2021)

Sliced Mutual Information: A Scalable Measure of Statistical Dependence. - Ziv Goldfeld; Kristjan H. Greenewald (NeurIPS, 2021)

Information Storage in the Stochastic Ising Model. - Ziv Goldfeld; Guy Bresler; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2021)

The Secrecy Capacity of Cost-Constrained Wiretap Channels. - Sreejith Sreekumar; Alexander Bunin; Ziv Goldfeld; Haim H. Permuter; Shlomo Shamai (IEEE Trans. Inf. Theory, 2021)

Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis. - Sloan Nietert; Ziv Goldfeld; Rachel Cummings (AISTATS, 2022)

Cycle Consistent Probability Divergences Across Different Spaces. - Zhengxin Zhang; Youssef Mroueh; Ziv Goldfeld; Bharath K. Sriperumbudur (AISTATS, 2022)

An Information-Theoretic Characterization of Pufferfish Privacy. - Theshani Nuradha; Ziv Goldfeld (ISIT, 2022)

Perfect Subset Privacy for Data Sharing and Learning. - Netanel Raviv; Ziv Goldfeld (ISIT, 2022)

Optimizing Estimated Directed Information over Discrete Alphabets. - Dor Tsur; Ziv Aharoni; Ziv Goldfeld; Haim H. Permuter (ISIT, 2022)

$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. - Ziv Goldfeld; Kristjan H. Greenewald; Theshani Nuradha; Galen Reeves (NeurIPS, 2022)

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances. - Sloan Nietert; Ziv Goldfeld; Ritwik Sadhu; Kengo Kato (NeurIPS, 2022)

Neural Estimation of Statistical Divergences. - Sreejith Sreekumar; Ziv Goldfeld (J. Mach. Learn. Res., 2022)

Limit Distribution Theory for KL divergence and Applications to Auditing Differential Privacy. - Sreejith Sreekumar; Ziv Goldfeld; Kengo Kato (ISIT, 2023)

Outlier-Robust Wasserstein DRO. - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (NeurIPS, 2023)

Max-Sliced Mutual Information. - Dor Tsur; Ziv Goldfeld; Kristjan H. Greenewald (NeurIPS, 2023)

Robust Estimation under the Wasserstein Distance. - Sloan Nietert; Rachel Cummings; Ziv Goldfeld (CoRR, 2023)

Quantum Neural Estimation of Entropies. - Ziv Goldfeld; Dhrumil Patel; Sreejith Sreekumar; Mark M. Wilde (CoRR, 2023)

Neural Estimation and Optimization of Directed Information Over Continuous Spaces. - Dor Tsur; Ziv Aharoni; Ziv Goldfeld; Haim H. Permuter (IEEE Trans. Inf. Theory, 2023)

Pufferfish Privacy: An Information-Theoretic Study. - Theshani Nuradha; Ziv Goldfeld (IEEE Trans. Inf. Theory, 2023)

Differentially Private Sinkhorn Algorithm. - Jiaqi Wang; Ziv Goldfeld (Allerton, 2024)

Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract). - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (COLT, 2024)

Hierarchical Generalization Bounds for Deep Neural Networks. - Haiyun He; Christina Lee Yu; Ziv Goldfeld (ISIT, 2024)

Several Interpretations of Max-Sliced Mutual Information. - Dor Tsur; Haim H. Permuter; Ziv Goldfeld (ISIT, 2024)

Neural Estimation of Entropic Optimal Transport. - Tao Wang; Ziv Goldfeld (ISIT, 2024)

Information-Theoretic Generalization Bounds for Deep Neural Networks. - Haiyun He; Christina Lee Yu; Ziv Goldfeld (CoRR, 2024)

Robust Distribution Learning with Local and Global Adversarial Corruptions. - Sloan Nietert; Ziv Goldfeld; Soroosh Shafiee (CoRR, 2024)

Data-Driven Optimization of Directed Information Over Discrete Alphabets. - Dor Tsur; Ziv Aharoni; Ziv Goldfeld; Haim H. Permuter (IEEE Trans. Inf. Theory, 2024)

Limit Distribution Theory for f-Divergences. - Sreejith Sreekumar; Ziv Goldfeld; Kengo Kato (IEEE Trans. Inf. Theory, 2024)

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems. - Theshani Nuradha; Ziv Goldfeld; Mark M. Wilde (IEEE Trans. Inf. Theory, 2024)

Neural Estimation for Scaling Entropic Multimarginal Optimal Transport. - Dor Tsur; Ziv Goldfeld; Kristjan Greenewald; Haim H. Permuter (CoRR, 2025)

Information-Theoretic Generalization Bounds for Deep Neural Networks. - Haiyun He; Ziv Goldfeld (IEEE Trans. Inf. Theory, 2025)