Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1311.3158
Cited By
Fingerprinting Codes and the Price of Approximate Differential Privacy
13 November 2013
Mark Bun
Jonathan R. Ullman
Salil P. Vadhan
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Fingerprinting Codes and the Price of Approximate Differential Privacy"
20 / 20 papers shown
Title
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
50
1
0
26 Sep 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
Jie Xu
Karthikeyan P. Saravanan
Rogier van Dalen
Haaris Mehmood
David Tuckey
Mete Ozay
103
6
0
10 May 2024
PRIMO: Private Regression in Multiple Outcomes
Seth Neel
45
0
0
07 Mar 2023
Understanding Unintended Memorization in Federated Learning
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Franccoise Beaufays
FedML
43
47
0
12 Jun 2020
The Price of Selection in Differential Privacy
Mitali Bafna
Jonathan R. Ullman
71
30
0
09 Feb 2017
Differentially Private Release and Learning of Threshold Functions
Mark Bun
Kobbi Nissim
Uri Stemmer
Salil P. Vadhan
60
195
0
28 Apr 2015
More General Queries and Less Generalization Error in Adaptive Data Analysis
Raef Bassily
Adam D. Smith
Thomas Steinke
Jonathan R. Ullman
36
14
0
16 Mar 2015
Between Pure and Approximate Differential Privacy
Thomas Steinke
Jonathan R. Ullman
FedML
55
159
0
24 Jan 2015
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork
Vitaly Feldman
Moritz Hardt
T. Pitassi
Omer Reingold
Aaron Roth
49
375
0
10 Nov 2014
Preventing False Discovery in Interactive Data Analysis is Hard
Moritz Hardt
Jonathan R. Ullman
53
125
0
06 Aug 2014
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
A. Beimel
Kobbi Nissim
Uri Stemmer
63
194
0
10 Jul 2014
Characterizing the Sample Complexity of Private Learners
A. Beimel
Kobbi Nissim
Uri Stemmer
53
78
0
10 Feb 2014
Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard
Jonathan R. Ullman
60
99
0
30 Jul 2012
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
68
550
0
10 Sep 2011
Iterative Constructions and Private Data Release
Anupam Gupta
Aaron Roth
Jonathan R. Ullman
51
208
0
19 Jul 2011
Lower bounds in differential privacy
Anindya De
56
132
0
12 Jul 2011
Privately Releasing Conjunctions and the Statistical Query Barrier
Anupam Gupta
Moritz Hardt
Aaron Roth
Jonathan R. Ullman
64
148
0
04 Nov 2010
Interactive Privacy via the Median Mechanism
Aaron Roth
Tim Roughgarden
80
283
0
10 Nov 2009
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
99
462
0
21 Jul 2009
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
99
1,459
0
06 Mar 2008
1