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ORCIDAmos Beimel
- > Home > Persons > Amos Beimel
Publications
- 2022
[c67]Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak
, Uri Stemmer:
Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds. STOC 2022: 1671-1684- 2021
- [j37]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Learning Privately with Labeled and Unlabeled Examples. Algorithmica 83(1): 177-215 (2021) - [i35]Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer:
Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds. CoRR abs/2111.03980 (2021) - 2020
- [c63]Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer:
The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC 2020: 14:1-14:25 - [c60]Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer:
On the Round Complexity of the Shuffle Model. TCC (2) 2020: 683-712 - [i32]Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer:
On the Round Complexity of the Shuffle Model. CoRR abs/2009.13510 (2020) - [i28]Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer:
On the Round Complexity of the Shuffle Model. IACR Cryptol. ePrint Arch. 2020: 1182 (2020) - 2019
- [j35]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Characterizing the Sample Complexity of Pure Private Learners. J. Mach. Learn. Res. 20: 146:1-146:33 (2019) - [c59]Amos Beimel, Kobbi Nissim, Mohammad Zaheri:
Exploring Differential Obliviousness. APPROX-RANDOM 2019: 65:1-65:20 - [c58]Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer:
Private Center Points and Learning of Halfspaces. COLT 2019: 269-282 - [i27]Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer:
Private Center Points and Learning of Halfspaces. CoRR abs/1902.10731 (2019) - [i26]Amos Beimel, Kobbi Nissim, Mohammad Zaheri:
Exploring Differential Obliviousness. CoRR abs/1905.01373 (2019) - [i25]Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer:
The power of synergy in differential privacy: Combining a small curator with local randomizers. CoRR abs/1912.08951 (2019) - 2016
- [j33]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. Theory Comput. 12(1): 1-61 (2016) - 2015
- [c48]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Learning Privately with Labeled and Unlabeled Examples. SODA 2015: 461-477 - 2014
- [j30]Amos Beimel, Hai Brenner, Shiva Prasad Kasiviswanathan, Kobbi Nissim:
Bounds on the sample complexity for private learning and private data release. Mach. Learn. 94(3): 401-437 (2014) - [i15]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Characterizing the Sample Complexity of Private Learners. CoRR abs/1402.2224 (2014) - [i14]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Learning Privately with Labeled and Unlabeled Examples. CoRR abs/1407.2662 (2014) - [i13]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. CoRR abs/1407.2674 (2014) - 2013
- [c43]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. APPROX-RANDOM 2013: 363-378 - [c42]Amos Beimel, Kobbi Nissim, Uri Stemmer:
Characterizing the sample complexity of private learners. ITCS 2013: 97-110 - 2011
- [i8]Amos Beimel, Kobbi Nissim, Eran Omri:
Distributed Private Data Analysis: On Simultaneously Solving How and What. CoRR abs/1103.2626 (2011) - 2010
- [j27]Amos Beimel, Tal Malkin, Kobbi Nissim, Enav Weinreb:
How Should We Solve Search Problems Privately? J. Cryptol. 23(2): 344-371 (2010) - [c35]Amos Beimel, Shiva Prasad Kasiviswanathan, Kobbi Nissim:
Bounds on the Sample Complexity for Private Learning and Private Data Release. TCC 2010: 437-454 - 2009
- [j25]Amos Beimel, Renen Hallak, Kobbi Nissim:
Private Approximation of Clustering and Vertex Cover. Comput. Complex. 18(3): 435-494 (2009) - 2008
- [j23]Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb:
Private Approximation of Search Problems. SIAM J. Comput. 38(5): 1728-1760 (2008) - [c33]Amos Beimel, Kobbi Nissim, Eran Omri:
Distributed Private Data Analysis: Simultaneously Solving How and What. CRYPTO 2008: 451-468 - 2007
- [c30]Amos Beimel, Tal Malkin, Kobbi Nissim, Enav Weinreb:
How Should We Solve Search Problems Privately? CRYPTO 2007: 31-49 - [c28]Amos Beimel, Renen Hallak, Kobbi Nissim:
Private Approximation of Clustering and Vertex Cover. TCC 2007: 383-403 - 2006
- [c26]Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb:
Private approximation of search problems. STOC 2006: 119-128 - 2005
- [i5]Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb:
Private Approximation of Search Problems. Electron. Colloquium Comput. Complex. TR05 (2005)
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