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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
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Papers citing
"Fingerprinting Codes and the Price of Approximate Differential Privacy"
8 / 8 papers shown
Title
Fully Dynamic Graph Algorithms with Edge Differential Privacy
Sofya Raskhodnikova
Teresa Anna Steiner
47
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
99
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
33
47
0
12 Jun 2020
The Price of Selection in Differential Privacy
Mitali Bafna
Jonathan R. Ullman
67
30
0
09 Feb 2017
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
A. Beimel
Kobbi Nissim
Uri Stemmer
54
194
0
10 Jul 2014
Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard
Jonathan R. Ullman
60
100
0
30 Jul 2012
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
53
550
0
10 Sep 2011
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