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Private Learning and Sanitization: Pure vs. Approximate Differential
  Privacy

Private Learning and Sanitization: Pure vs. Approximate Differential Privacy

10 July 2014
A. Beimel
Kobbi Nissim
Uri Stemmer
ArXivPDFHTML

Papers citing "Private Learning and Sanitization: Pure vs. Approximate Differential Privacy"

9 / 9 papers shown
Title
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
80
2
0
17 Jun 2024
The Price of Selection in Differential Privacy
The Price of Selection in Differential Privacy
Mitali Bafna
Jonathan R. Ullman
71
30
0
09 Feb 2017
Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
Vitaly Feldman
David Xiao
192
74
0
25 Feb 2014
Characterizing the Sample Complexity of Private Learners
Characterizing the Sample Complexity of Private Learners
A. Beimel
Kobbi Nissim
Uri Stemmer
56
78
0
10 Feb 2014
Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard
Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard
Jonathan R. Ullman
62
99
0
30 Jul 2012
Lower bounds in differential privacy
Lower bounds in differential privacy
Anindya De
59
132
0
12 Jul 2011
Privately Releasing Conjunctions and the Statistical Query Barrier
Privately Releasing Conjunctions and the Statistical Query Barrier
Anupam Gupta
Moritz Hardt
Aaron Roth
Jonathan R. Ullman
66
148
0
04 Nov 2010
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
105
462
0
21 Jul 2009
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
99
1,459
0
06 Mar 2008
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