Publications

 Pre-prints:

  1. S. Asoodeh, M. Aliakbarpour, and F. Calmon, "Strong data processing inequalities for statistical estimation under local differential privacy" , Submitted, 2021. [pdf]

  2. S. Asoodeh, M. Aliakbarpour, and F. Calmon, "Local differential privacy Is equivalent to contraction of E_gamma-divergence", Submitted, 2021. [arXiv]

  3. S. Asoodeh, W-N. Chen, F. Calmon, and A. Özgür, "Differentially private federated learning: An information-theoretic perspective", Submitted, 2021. [pdf]

  4. W. Alghamdi, S. Asoodeh, H. Wang,  F. Calmon, D. Wei and K. N. Ramamurthy, "Fair machine learning via model projection", To be Submitted, 2020. [short version]

  5. S. Asoodeh, M. Diaz, and  F. Calmon, "Privacy analysis of online learning algorithms via contraction coefficient",  Submitted, 2020. [arXiv]

  6. P. Sadeghi, S. Asoodeh, and F. Calmon, "Differentially private mechanisms for count queries", Submitted, 2020. [arXiv]

  7. M. Diaz, S. Asoodeh, F. Alajaji, T. Linder, J. Mingo and S. Belinschi,  "On the noise-information separation of a private principal component analysis scheme", Submitted. [arXiv]

 2021:

  1. N. Yadati, T. Gao, S. Asoodeh, P. Talukdar, and A. Louis, "Graph neural networks for soft semi-supervised learning on hypergraphs", Accepted to  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PA-KDD), 2021. [pdf] [supplementary] [code]

  2. S. Asoodeh, J. Liao, F. Calmon, O. Kosut, L. Sankar, "Three variants of differential privacy: lossless conversion and applications",  IEEE Journal on Selected Areas in Information Theory, Vol 2, Issue 1, pp. 208-222,  2021. [IEEE's version] [arXiv

 2020:

  1. S. Asoodeh, and F. Calmon, "Bottleneck Problems: Information and Estimation-Theoretic View",  Entropy Special Issue on Information-Theoretic Methods for Deep Learning. [Invited Paper] [arXiv] [publisher's version]

  2. H. Hsu, S. Asoodeh, and F. Calmon, "Information obfuscation via information density estimation",  AISTAT 2020. [arXiv] [publisher's version]

  3. W. Alghamdi, S. Asoodeh, H. Wang, F. Calmon, D. Wei and K. N. Ramamurthy, "Model projection: theory and applications to fair machine learning", IEEE ISIT, 2020. [IEEE's version]

  4. S. Asoodeh, J. Liao, F. Calmon, O. Kosut, and L. Sankar, "A Better bound gives a hundred rounds:enhanced privacy guarantees via f-divergences", IEEE ISIT, 2020. [arXiv] [IEEE's version]

  5.  S. Asoodeh, Mario Diaz, and F. Calmon, "Privacy amplification of iterative algorithms via contraction coefficient", IEEE ISIT, 2020. [IEEE's version]

  6.  S. Asoodeh and F. Calmon, "Differentially private federated learning: An information-theoretic perspective", ICML-FL, 2020. [pdf]

 2019:

  1. T. Gao, S. Asoodeh, Y. Huang, and J. Evans, "Wasserstein soft label propagation on hypergraphs: algorithm and generalization error bounds", AAAI 2019. [arXiv] [publisher's version]

  2. S. Asoodeh, M. Diaz, F. Alajaji and T. Linder, "Estimation efficiency under privacy constraints",  IEEE Transaction on Information Theory, Vol 65 (3),  pp. 1512-1534, March 2019. [arXiv] [IEEE's version]

  3. H. Hsu, S. Asoodeh, and F. Calmon, "Information-theoretic privacy watchdogs", IEEE ISIT, 2019. [IEEE's version]

2018:

  1. H. Hsu, S. Asoodeh, S. Salamatian and F. Calmon, "Generalizing bottleneck problems", IEEE ISIT, 2018. [arXiv] [IEEE's version]

  2.  S. Asoodeh, Y. Huang and  I. Chattopadhyay,  "Tamper-free communication over deletion channels", IEEE CDC, 2018. [arXiv] [IEEE's version]

  3. S. Asoodeh, T. Gao, and J. A. Evans, "Curvature of hypergraphs via multi-marginal optimal tansport",  IEEE CDC, 2018. [arXiv] [publisher's version]

 Prior to 2017: 

  1. S. Asoodeh, M. Diaz, F. Alajaji and T. Linder, "Privacy-aware guessing efficiency", IEEE ISIT, 2017. [arXiv][IEEE's version]

  2. S. Asoodeh, M. Diaz, F. Alajaji and T. Linder, "Information extraction under privacy constraint", Information, 2016.  [arXiv][publisher's version]

  3. S. Asoodeh,  F. Alajaji and T. Linder, "Almost perfect privacy over additive Gaussian channel", Int. Conference on Information Theoretic Security, 2016. [arXiv] [Springer's version]

  4. S. Asoodeh, F. Alajaji and T. Linder, "Privacy-aware MMSE estimation", IEEE ISIT, 2016. [arXiv] [IEEE's version]

  5. S. Asoodeh, F. Alajaji and T. Linder, "Lossless secure source coding: Yamamoto's setting", Allerton 2015. [arXiv] [IEEE version]

  6. S. Asoodeh, F. Alajaji and T. Linder, "On maximal correlation, mutual information and a data privacy problem", Canadian Workshop on Information Theory, 2015. [arXiv] [IEEE's version]

  7. S. Asoodeh, F. Alajaji and T. Linder, "Notes on information theoretic privacy", Allerton, 2014. [arXiv] [IEEE's version]

  8. S. Asoodeh, F. Alajaji and  T. Linder, "An achievability proof for the lossy coding of Markov sources with feed-forward", Canadian Workshop on Information Theory, 2013. [IEEE's version]

  9. S. Asoodeh, "On the energy of a single-bit communication in the Poisson channel with feedback", Biennial Symposium on Communications, 2012. [IEEE's version]

  10. S. Asoodeh, A. Lapidoth and L. Wang,"It takes half the energy of a photon to send one bit reliably on the Poisson channel with feedback", Joint Workshop on Coding and Communications, 2010. [arXiv]

  11. S. Asoodeh, "A new stopping criterion for turbo decoder in the presence of SNR mismatch", IEEE ICUMT, 2010. [IEEE's version]

  12. S. Asoodeh, H. Ramezani and H. Samimi, "Gaussian approximation for LDPC codes", IEEE WICOM, 2007. [IEEE's version]

  13. S. Asoodeh and H. Maddahi, "On PN code acquisition in direct sequence CDMA",  IEEE WICOM, 2007. [IEEE's version]

  14. S. Asoodeh and  A. R. Rezazade, "A novel algorithm for CFO estimation in OFDM-based systems", CIIT, 2007. [publisher's version]

  15. S. Asoodeh and A. R. Rezazade, "Design of optimal period interleaver in turbo codes", Canadian Workshop on Information Theory, 2007. [IEEE's version]

  16. E. Afjei, S. Asoodeh and A. Dargahi, "Error analysis in finite difference solution of linear and non-linear cylindrical magnetostatic problems", IEEE ACEMP, 2007. [IEEE's version]