Estimation efficiency under privacy constraints S Asoodeh, M Diaz, F Alajaji, T Linder
IEEE Transactions on Information Theory 65 (3), 1512-1534, 2018
86 2018 Information extraction under privacy constraints S Asoodeh, M Diaz, F Alajaji, T Linder
Information 7 (1), 15, 2016
80 2016 On maximal correlation, mutual information and data privacy S Asoodeh, F Alajaji, T Linder
2015 IEEE 14th Canadian workshop on information theory (CWIT), 27-31, 2015
59 2015 Notes on information-theoretic privacy S Asoodeh, F Alajaji, T Linder
2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014
59 2014 Privacy-aware MMSE estimation S Asoodeh, F Alajaji, T Linder
2016 IEEE international symposium on information theory (ISIT), 1989-1993, 2016
45 2016 Generalizing bottleneck problems H Hsu, S Asoodeh, S Salamatian, FP Calmon
2018 IEEE International Symposium on Information Theory (ISIT), 531-535, 2018
35 2018 A better bound gives a hundred rounds: Enhanced privacy guarantees via f-divergences S Asoodeh, J Liao, FP Calmon, O Kosut, L Sankar
2020 IEEE International Symposium on Information Theory (ISIT), 920-925, 2020
34 2020 Three variants of differential privacy: Lossless conversion and applications S Asoodeh, J Liao, FP Calmon, O Kosut, L Sankar
IEEE Journal on Selected Areas in Information Theory 2 (1), 208-222, 2021
33 2021 Differentially private federated learning: An information-theoretic perspective S Asoodeh, WN Chen, FP Calmon, A Özgür
2021 IEEE International Symposium on Information Theory (ISIT), 344-349, 2021
28 2021 Privacy-aware guessing efficiency S Asoodeh, M Diaz, F Alajaji, T Linder
2017 ieee international symposium on information theory (isit), 754-758, 2017
27 2017 Beyond adult and compas: Fair multi-class prediction via information projection W Alghamdi, H Hsu, H Jeong, H Wang, P Michalak, S Asoodeh, F Calmon
Advances in Neural Information Processing Systems 35, 38747-38760, 2022
25 2022 Information-theoretic privacy watchdogs H Hsu, S Asoodeh, FP Calmon
2019 IEEE International Symposium on Information Theory (ISIT), 552-556, 2019
22 2019 Curvature of hypergraphs via multi-marginal optimal transport S Asoodeh, T Gao, J Evans
2018 IEEE Conference on Decision and Control (CDC), 1180-1185, 2018
21 2018 Local Differential Privacy Is Equivalent to Contraction of an -Divergence S Asoodeh, M Aliakbarpour, FP Calmon
2021 IEEE International Symposium on Information Theory (ISIT), 545-550, 2021
20 2021 Model projection: Theory and applications to fair machine learning W Alghamdi, S Asoodeh, H Wang, FP Calmon, D Wei, KN Ramamurthy
2020 IEEE International Symposium on Information Theory (ISIT), 2711-2716, 2020
20 2020 Bottleneck problems: An information and estimation-theoretic view S Asoodeh, FP Calmon
Entropy 22 (11), 1325, 2020
17 2020 Privacy amplification of iterative algorithms via contraction coefficients S Asoodeh, M Diaz, FP Calmon
2020 IEEE International Symposium on Information Theory (ISIT), 896-901, 2020
16 2020 Obfuscation via information density estimation H Hsu, S Asoodeh, F Calmon
International Conference on Artificial Intelligence and Statistics, 906-917, 2020
15 2020 Beyond adult and compas: Fairness in multi-class prediction W Alghamdi, H Hsu, H Jeong, H Wang, PW Michalak, S Asoodeh, ...
arXiv preprint arXiv:2206.07801, 2022
10 2022 Local Differential Privacy Is Equivalent to Contraction of -Divergence S Asoodeh, M Aliakbarpour, FP Calmon
arXiv preprint arXiv:2102.01258, 2021
7 2021