Mario Diaz

Mario Diaz

Research Associate
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS)
Universidad Nacional Autónoma de México (UNAM)
Curriculum Vitae / Google Scholar Profile / Publons Profile

Interests

My current research mainly focuses on data privacy, information theory and theoretical
machine learning. I also keep a research stream on random matrices and their applications.

Publications and Preprints

Journal Papers

  1. On the robustness of information-theoretic privacy measures and mechanisms
    M. Diaz, H. Wang, F. Calmon and L. Sankar
    IEEE Transactions on Information Theory, 2019
    DOI:10.1109/TIT.2019.2939472
     
  2. On the global fluctuations of block Gaussian matrices
    M. Diaz, J. Mingo and S. Belinschi
    Probability Theory and Related Fields, 2020
    DOI:10.1007/s00440-019-00925-1
     
  3. Estimation efficiency under privacy constraints
    S. Asoodeh, M. Diaz, F. Alajaji and T. Linder
    IEEE Transactions on Information Theory, 2019
    DOI:10.1109/TIT.2018.2865558
     
  4. On the capacity of block multiantenna channels
    M. Diaz and V. Pérez-Abreu
    IEEE Transactions on Information Theory, 2017
    DOI:10.1109/TIT.2017.2712711
     
  5. Information extraction under privacy constraints
    S. Asoodeh, M. Diaz, F. Alajaji and T. Linder
    Information, 2016
    DOI:10.3390/info7010015

Conference Papers

  1. Privacy amplification of iterative algorithms via contraction coefficients
    S. Asoodeh, M. Diaz and F. Calmon
    IEEE International Symposium on Information Theory (ISIT), 2020
    arXiv:2001.06546
     
  2. On the α-loss landscape in the logistic model
    T. Sypherd, M. Diaz, L. Sankar and G. Dasarathy
    IEEE International Symposium on Information Theory (ISIT), 2020
    arXiv:2006.12406
     
  3. A tunable loss function for binary classification
    T. Sypherd, M. Diaz, L. Sankar and P. Kairouz
    IEEE International Symposium on Information Theory (ISIT), 2019
    DOI:10.1109/ISIT.2019.8849796
     
  4. An information-theoretic view of generalization via Wasserstein distance
    H. Wang, M. Diaz, JCS Santos Filho and F. Calmon
    IEEE International Symposium on Information Theory (ISIT), 2019
    DOI:10.1109/ISIT.2019.8849359
     
  5. The utility cost of robust privacy guarantees
    H. Wang, M. Diaz, F. Calmon and L. Sankar
    IEEE International Symposium on Information Theory (ISIT), 2018
    DOI:10.1109/ISIT.2018.8437735
     
  6. Privacy-aware guessing efficiency
    S. Asoodeh, M. Diaz, F. Alajaji and T. Linder
    IEEE International Symposium on Information Theory (ISIT), 2017
    DOI:10.1109/ISIT.2017.8006629
     
  7. On the symmetries and the capacity achieving input covariance matrices of multiantenna channels
    M. Diaz
    IEEE International Symposium on Information Theory (ISIT), 2016
    DOI:10.1109/ISIT.2016.7541464

Preprints

  1. To split or not to split: The impact of disparate treatment in classification
    H. Wang, H. Hsu, M. Diaz and F. Calmon
    arXiv:2002.04788
     
  2. Fluctuations for matrix-valued Gaussian processes
    M. Diaz, A. Jaramillo and J.C. Pardo
    arXiv:2001.03718
     
  3. Theoretical guarantees for model auditing with finite adversaries
    M. Diaz, P. Kairouz, J. Liao and L. Sankar
    arXiv:1911.03405

Teaching

Miscellaneous Academic Activities

Last update: September 2020