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2304.07134
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Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
14 April 2023
Andrea Gadotti
Frederick Sell
Reethika Ramesh
Jinyuan Jia
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Papers citing
"Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice"
11 / 11 papers shown
Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
26
0
0
10 May 2025
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
Héber H. Arcolezi
Sébastien Gambs
AAML
48
0
0
03 Mar 2025
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction
Shuning Zhang
Xin Yi
Haobin Xing
Lyumanshan Ye
Yongquan Hu
Hewu Li
29
2
0
19 Oct 2024
Correction to Local Information Privacy and Its Applications to Data Aggregation
Bo Jiang
Ming Li
Ravi Tandon
27
0
0
16 Oct 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Meenatchi Sundaram Muthu Selva Annamalai
Emiliano De Cristofaro
25
11
0
23 May 2024
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
Meenatchi Sundaram Muthu Selva Annamalai
Georgi Ganev
Emiliano De Cristofaro
35
9
0
16 May 2024
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
Héber H. Arcolezi
Sébastien Gambs
30
1
0
04 Sep 2023
Transparency in App Analytics: Analyzing the Collection of User Interaction Data
Feiyang Tang
Bjarte M. Østvold
11
1
0
20 Jun 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data
Meenatchi Sundaram Muthu Selva Annamalai
Andrea Gadotti
Luc Rocher
MIACV
16
21
0
24 Jan 2023
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Héber H. Arcolezi
Sébastien Gambs
Jean-François Couchot
C. Palamidessi
21
12
0
04 Sep 2022
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
81
278
0
02 Oct 2017
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