u@uri.co.il

Uri Stemmer
(אורי שטמר)

I am a post-doctoral researcher at the Dept. of Computer Science and Applied Math, Weizmann Institute of Science, hosted by Prof. Moni Naor.

Before coming to Weizmann, I was a post-doctoral fellow at the Center for Research on Computation and Society, Harvard University. 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:


[11]
Heavy Hitters and the Structure of Local Privacy.
Mark Bun, Jelani Nelson, and Uri Stemmer.
Manuscript.

[10]
Clustering Algorithms for the Centralized and Local Models.
Kobbi Nissim and Uri Stemmer.
Manuscript.

[9]
Concentration Bounds for High Sensitivity Functions Through Differential Privacy.
Kobbi Nissim and Uri Stemmer.
Manuscript.

[8]
Practical Locally Private Heavy Hitters.
Raef Bassily, Kobbi Nissim, Uri Stemmer, and Abhradeep Thakurta.
NIPS 2017.

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

[6]
Algorithmic Stability for Adaptive Data Analysis.
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman.
STOC 2016.
→ Invited to a special issue of SICOMP.

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

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

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

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

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

Other Manuscripts:

Individuals and Privacy in the Eye of Data Analysis.
Ph.D. Thesis, October 2016.


Teaching:



Links:


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