CS 4365/ CS 5354: Data Processing under Security and Privacy

Summer 2016

  • Instructor: Vladik Kreinovich, email vladik@utep.edu, office phone (915) 747-6951
  • Time: Monday through Friday, 9:20-10:25 am, BUSN 330
  • Details: Syllabus

Faculty office hours

  • Mondays, Tuesdays, and Wednesdays 8:30-9:20 am, Thursdays 10:25-11:35 am, or by appointment.

Homeworks and programming assignments

Quizzes

Resources

  • Vladik Kreinovich and Christian Servin, "How to Test Hypotheses When Exact Values are Replaced by Intervals to Protect Privacy: Case of t-Tests", International Journal of Intelligent Technologies and Applied Statistics (IJITAS), 2015, Vol. 8, No. 2, pp. 93-102. pdf file
  • Gang Xiang, Jason O'Rawe, Vladik Kreinovich, Janos Hajagos, and Scott Ferson, "Protecting patient privacy while preserving medical information for research", Proceedings of the 6th International Workshop on Reliable Engineering Computing REC'2014, Chicago, Illinois, May 25-28, 2014, pp. 281-293. pdf file
  • Joshua Day, Ali Jalal-Kamali, and Vladik Kreinovich, "Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms", Proceedings of 3rd World Conference on Soft Computing, San Antonio, December 15-18, 2013, pp. 373-382. pdf file
  • G. Xiang, S. Ferson, L. Ginzburg, L. Longpre, *E. Mayorga, and O. Kosheleva, "Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach", Proceedings of the Joint World Congress of the International Fuzzy Systems Association and Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2013, Edmonton, Canada, June 24-28, 2013, pp. 611-616. pdf file
  • Ali Jalal-Kamali and Vladik Kreinovich, "Estimating Third Central Moment for Privacy Case under Interval and Fuzzy Uncertainty", Proceedings of the Joint World Congress of the International Fuzzy Systems Association and Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2013, Edmonton, Canada, June 24-28, 2013, pp. 454-450. pdf file
  • Gang Xiang and Vladik Kreinovich, "Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics", Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions CIES'2013, Singapore, April 16-19, 2013, pp. 163-170. pdf file
  • Ali Jalal-Kamali, Vladik Kreinovich, and Luc Longpre, "Estimating Covariance for Privacy Case under Interval (and Fuzzy) Uncertainty", In: Ronald R. Yager, Marek Z. Reformat, Shahnaz N. Shahbazova, and Sergei Ovchinnikov (eds.), Proceedings of the World Conference on Soft Computing, San Francisco, CA, May 23-26, 2011. pdf file
  • Vladik Kreinovich, Luc Longpre, Scott A. Starks, Gang Xiang, Jan Beck, Raj Kandathi, Asis Nayak, Scott Ferson, and Janos Hajagos, "Interval Versions of Statistical Techniques, with Applications to Environmental Analysis, Bioinformatics, and Privacy in Statistical Databases", Journal of Computational and Applied Mathematics, 2007, Vol. 199, No. 2, pp. 418-423. pdf file
  • Luc Longpre, Gang Xiang, Vladik Kreinovich, and Eric Freudenthal, "Interval Approach to Preserving Privacy in Statistical Databases: Related Challenges and Algorithms of Computational Statistics", In: V. Gorodetsky, I. Kotenko, and V. A. Skormin (eds.), Proceedings of the International Conference "Mathematical Methods, Models and Architectures for Computer Networks Security", MMM-ACNS-07, St. Petersburg, Russia, September 13-15, 2007, Springer Lecture Notes in Computer Science, 2007, Vol. CCIS-1, pp. 346-361. pdf file.
  • Luc Longpre and Vladik Kreinovich, "How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality", In: Nadia Nedjah, Ajith Abraham, and Luiza de Macedo Mourelle (Eds.), Computational Intelligence in Information Assurance and Security, Springer-Verlag, 2007, pp. 155-173. pdf file.
  • Martine Ceberio, Gang Xiang, Luc Longpre, Vladik Kreinovich, Hung T. Nguyen, Daniel Berleant, "Two Etudes on Combining Probabilistic and Interval Uncertainty: Processing Correlations and Measuring Loss of Privacy", Proceedings of the 7th International Conference on Intelligent Technologies InTech'06, Taipei, Taiwan, December 13-15, 2006, pp. 8-17. pdf file.
  • V. Kreinovich, "Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements'', In: F. Pavese and A. B. Forbes (eds.), Data Modeling for Metrology and Testing in Measurement Science, Birkhauser-Springer, Boston, 2009, pp. 117-145. pdf file.
  • V. Kreinovich, "Dealing with Uncertainties in Computing: from Probabilistic and Interval Uncertainty to Combination of Different Approaches, with Application to Geoinformatics, Bioinformatics, and Engineering", tutorial presented at the IEEE Series of Symposia in Computational Intelligence IEEE SSCI'2015, Cape Town, South Africa, December 7-10, 2015 pdf file.
  • V. Kreinovich, "Decision Making under Interval Uncertainty (and beyond)", In: P. Guo and W. Pedrycz (eds.), Human-Centric Decision-Making Models for Social Sciences, Springer Verlag, 2014, pp. 163-193, Section 4. pdf file
  • Wikipedia page on the RSA algorithm

Department of Computer Science | The University of Texas at El Paso