U@URI.CO.IL

Uri Stemmer
(אורי שטמר)

I am a post-doctoral fellow at the Center for Research on Computation and Society (CRCS), Harvard University.
Before joining Harvard, I completed my Ph.D. in computer science at Ben Gurion University, where I was lucky to have Prof. Amos Beimel and Prof. Kobbi Nissim as my advisors.

Research Interests:
Privacy-preserving data analysis, computational learning theory, algorithms.

Email:
u@uri.co.il


Publications:


[7]
Kobbi Nissim, Uri Stemmer, and Salil Vadhan.
Locating a Small Cluster Privately.
PODS 2016.

[6]
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman.
Algorithmic Stability for Adaptive Data Analysis.
STOC 2016.

[5]
Mark Bun, Kobbi Nissim, and Uri Stemmer.
Simultaneous Private Learning of Multiple Concepts.
ITCS 2016.

[4]
Mark Bun, Kobbi Nissim, Uri Stemmer, and Salil Vadhan.
Differentially Private Release and Learning of Threshold Functions.
FOCS 2015.

[3]
Amos Beimel, Kobbi Nissim, and Uri Stemmer.
Learning Privately with Labeled and Unlabeled Examples.
SODA 2015.

[2]
Amos Beimel, Kobbi Nissim, and Uri Stemmer.
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy.
RANDOM 2013.
Invited to a special issue of the journal Theory of Computing.

[1]
Amos Beimel, Kobbi Nissim, and Uri Stemmer.
Characterizing the Sample Complexity of Private Learners.
ITCS 2013.



Teaching:



Some of my talks:


Algorithmic Stability for Adaptive Data Analysis.
−   Theory Seminar, Ariel University. February 2016.
−   Differential Privacy Group, Hebrew University. February 2016.
−   Foundations of Computer Science Seminar, Weizmann Institute of Science. January 2016.

Locating a Small Cluster Privately.
−   Differential Privacy Group, Harvard University. November 2015.

Learning Privately with Labeled and Unlabeled Examples.
−   SODA 2015 Conference, San Diego. January 2015.
−   Differential Privacy Group, Harvard University. March 2014.

Private Learning and Sanitization: Pure vs. Approximate Differential Privacy.
−   Differential Privacy Group, Harvard University. August 2013.
−   RANDOM 2013 Conference, UC Berkeley. August 2013.

Characterizing the Sample Complexity of Private Learners.
−   CS Theory Lunch Seminar, Technion. October 2013.
−   The 13th Haifa Workshop on Graph Theory, University of Haifa. May 2013.
−   ITCS 2013 Conference, UC Berkeley. January 2013.
−   DIMACS Workshop on Differential Privacy, Rutgers University. October 2012.


Links:


CS@BGU, Amos Beimel, Kobbi Nissim, Ilan Shallom, Ilan Orlov, Aryeh Kontorovich, Avner Stemmer, Dana Stemmer, Maya Stemmer