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Ziv Goldfeld
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Estimating information flow in deep neural networks
Z Goldfeld, E Berg, K Greenewald, I Melnyk, N Nguyen, B Kingsbury, ...
arXiv preprint arXiv:1810.05728, 2018
1272018
Semantic-security capacity for wiretap channels of type II
Z Goldfeld, P Cuff, HH Permuter
IEEE Transactions on Information Theory 62 (7), 3863-3879, 2016
652016
The information bottleneck problem and its applications in machine learning
Z Goldfeld, Y Polyanskiy
IEEE Journal on Selected Areas in Information Theory 1 (1), 19-38, 2020
592020
Convergence of smoothed empirical measures with applications to entropy estimation
Z Goldfeld, K Greenewald, J Niles-Weed, Y Polyanskiy
arXiv preprint arXiv:1905.13576, 2019
50*2019
Arbitrarily varying wiretap channels with type constrained states
Z Goldfeld, P Cuff, HH Permuter
IEEE Transactions on Information Theory 62 (12), 7216-7244, 2016
392016
Fourier-Motzkin Elimination Software for Information Theoretic Inequalities
IB Gattegno, Z Goldfeld, HH Permuter
arXiv preprint arXiv:1610.03990, 2016
26*2016
Wiretap channels with random states non-causally available at the encoder
Z Goldfeld, P Cuff, HH Permuter
IEEE Transactions on Information Theory 66 (3), 1497-1519, 2019
252019
Gaussian-smoothed optimal transport: Metric structure and statistical efficiency
Z Goldfeld, K Greenewald
International Conference on Artificial Intelligence and Statistics, 3327-3337, 2020
222020
Capacity of continuous channels with memory via directed information neural estimator
Z Aharoni, D Tsur, Z Goldfeld, HH Permuter
2020 IEEE International Symposium on Information Theory (ISIT), 2014-2019, 2020
162020
Asymptotic guarantees for generative modeling based on the smooth wasserstein distance
Z Goldfeld, K Greenewald, K Kato
Advances in neural information processing systems 33, 2527-2539, 2020
16*2020
Strong secrecy for cooperative broadcast channels
Z Goldfeld, G Kramer, HH Permuter, P Cuff
IEEE Trans. Information Theory 63 (1), 469-495, 2017
162017
Smooth -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
S Nietert, Z Goldfeld, K Kato
International Conference on Machine Learning, 8172-8183, 2021
142021
MIMO Gaussian broadcast channels with common, private, and confidential messages
Z Goldfeld, HH Permuter
IEEE Transactions on Information Theory 65 (4), 2525-2544, 2019
122019
Key and message semantic-security over state-dependent channels
A Bunin, Z Goldfeld, HH Permuter, S Shamai, P Cuff, P Piantanida
IEEE Transactions on Information Forensics and Security, 2018
112018
Neural estimation of statistical divergences
S Sreekumar, Z Goldfeld
Journal of Machine Learning Research 23 (126), 1-75, 2022
92022
Non-asymptotic performance guarantees for neural estimation of f-divergences
S Sreekumar, Z Zhang, Z Goldfeld
International Conference on Artificial Intelligence and Statistics, 3322-3330, 2021
92021
Optimality of the plug-in estimator for differential entropy estimation under Gaussian convolutions
Z Goldfeld, K Greenewald, J Weed, Y Polyanskiy
2019 IEEE International Symposium on Information Theory (ISIT), 892-896, 2019
92019
Broadcast channels with privacy leakage constraints
Z Goldfeld, G Kramer, HH Permuter
IEEE Transactions on Information Theory 63 (8), 5138-5161, 2017
92017
Duality of a source coding problem and the semi-deterministic broadcast channel with rate-limited cooperation
Z Goldfeld, HH Permuter, G Kramer
IEEE Transactions on Information Theory 62 (5), 2285-2307, 2016
92016
Sliced mutual information: A scalable measure of statistical dependence
Z Goldfeld, K Greenewald
Advances in Neural Information Processing Systems 34, 17567-17578, 2021
82021
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