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1709.02753
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Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
8 September 2017
Jun Tang
Aleksandra Korolova
Xiaolong Bai
Xueqiang Wang
Luyi Xing
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Papers citing
"Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12"
50 / 101 papers shown
Setting
ε
\varepsilon
ε
is not the Issue in Differential Privacy
Edwige Cyffers
159
0
0
09 Nov 2025
GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
Haochen Sun
Xi He
154
0
0
28 Sep 2025
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
Yaohong Yang
Aki Rehn
Sammie Katt
Antti Honkela
Samuel Kaski
201
1
0
04 Sep 2025
KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation
Jingnan Xu
Leixia Wang
Xiaofeng Meng
392
0
0
15 Aug 2025
Local Distance Query with Differential Privacy
Weihong Sheng
Jiajun Chen
Bin Cai
Chunqiang Hu
Meng Han
Jiguo Yu
147
0
0
07 Aug 2025
Private Continual Counting of Unbounded Streams
Ben Jacobsen
Kassem Fawaz
244
0
0
17 Jun 2025
Differentially Private Sparse Linear Regression with Heavy-tailed Responses
Xizhi Tian
Meng Ding
Touming Tao
Zihang Xiang
Di Wang
232
2
0
07 Jun 2025
Differentially Private Explanations for Clusters
Amir Gilad
Tova Milo
Kathy Razmadze
Ron Zadicario
233
1
0
06 Jun 2025
Locally Private Nonparametric Contextual Multi-armed Bandits
Hanfang Yang
Feiyu Jiang
Zifeng Zhao
Yuheng Ma
Y. Yu
497
0
0
11 Mar 2025
Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store
Jing Zhang
Liqiang Peng
Mo Sha
Wen Liu
Xiang Li
Sheng Wang
Feifei Li
Mingyu Gao
H. Zhang
498
2
0
07 Mar 2025
Segmented Private Data Aggregation in the Multi-message Shuffle Model
Shaowei Wang
Hongqiao Chen
Sufen Zeng
Ruilin Yang
Hui Jiang
...
Kaiqi Yu
Rundong Mei
Shaozheng Huang
Wei Yang
Bangzhou Xin
FedML
465
0
0
31 Dec 2024
Nebula: Efficient, Private and Accurate Histogram Estimation
Ali Shahin Shamsabadi
Peter Snyder
Ralph Giles
A. Bellet
Hamed Haddadi
380
0
0
15 Sep 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang
Changyu Dong
Xiangfu Song
Jin Li
Zhili Zhou
Di Wang
Han Wu
604
1
0
26 Jun 2024
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
Chiara Amorino
A. Gloter
Hélene Halconruy
250
3
0
31 Jan 2024
Mean Estimation Under Heterogeneous Privacy Demands
Syomantak Chaudhuri
Konstantin Miagkov
T. Courtade
333
5
0
19 Oct 2023
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda
J. Blumenstock
Nitin Kohli
280
6
0
08 Oct 2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Proceedings of the VLDB Endowment (PVLDB), 2023
Shweta Patwa
Danyu Sun
Amir Gilad
Ashwin Machanavajjhala
Sudeepa Roy
216
2
0
15 Sep 2023
Minimax rate for multivariate data under componentwise local differential privacy constraints
Annals of Statistics (Ann. Stat.), 2023
Chiara Amorino
A. Gloter
414
4
0
17 May 2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
USENIX Security Symposium (USENIX Security), 2023
Andrea Gadotti
Frederick Sell
Reethika Ramesh
Jinyuan Jia
232
28
0
14 Apr 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
USENIX Security Symposium (USENIX Security), 2023
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
239
60
0
01 Mar 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Singh Kang
Ramtin Pedarsani
Kannan Ramchandran
FedML
364
6
0
30 Jan 2023
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
326
11
0
30 Jan 2023
Ranking Differential Privacy
Shi Xu
W. Sun
Guang Cheng
355
1
0
02 Jan 2023
Frequency Estimation of Evolving Data Under Local Differential Privacy
International Conference on Extending Database Technology (EDBT), 2022
Héber H. Arcolezi
Carlos Pinzón
C. Palamidessi
Sébastien Gambs
306
17
0
01 Oct 2022
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data
Asian Conference on Machine Learning (ACML), 2022
Jinyan Su
Jinhui Xu
Haiyan Zhao
326
2
0
17 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees
Information Technology Convergence and Services (ITCS), 2022
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
329
8
0
08 Sep 2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application
International Conference on Web and Social Media (ICWSM), 2022
Ramit Sawhney
A. Neerkaje
Ivan Habernal
Lucie Flek
372
5
0
05 Sep 2022
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Proceedings of the VLDB Endowment (PVLDB), 2022
Héber H. Arcolezi
Sébastien Gambs
Jean-François Couchot
C. Palamidessi
364
20
0
04 Sep 2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy
Zhili Chen
Jiali Wang
142
3
0
03 Sep 2022
Differentially Private Kolmogorov-Smirnov-Type Tests
Electronic Journal of Statistics (EJS), 2022
Jordan Awan
Yue Wang
430
7
0
12 Aug 2022
Differentially Private Learning of Hawkes Processes
Mohsen Ghassemi
Eleonora Kreavcić
Niccolò Dalmasso
Vamsi K. Potluru
T. Balch
Manuela Veloso
314
1
0
27 Jul 2022
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Conference on Computer and Communications Security (CCS), 2022
Sílvia Casacuberta
Michael Shoemate
Salil P. Vadhan
Connor Wagaman
316
32
0
21 Jul 2022
How unfair is private learning ?
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Amartya Sanyal
Yaxian Hu
Fanny Yang
FaML
FedML
454
27
0
08 Jun 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
Neural Information Processing Systems (NeurIPS), 2022
Xiyang Liu
Weihao Kong
Prateek Jain
Sewoong Oh
421
32
0
27 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
BigData Congress [Services Society] (BSS), 2022
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
323
3
0
23 May 2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Priyanka Nanayakkara
Johes Bater
Xi He
Jessica Hullman
Jennie Duggan
283
64
0
16 Jan 2022
On robustness and local differential privacy
Annals of Statistics (Ann. Stat.), 2022
Mengchu Li
Thomas B. Berrett
Yi Yu
355
31
0
03 Jan 2022
Privately Publishable Per-instance Privacy
Neural Information Processing Systems (NeurIPS), 2021
Rachel Redberg
Yu Wang
342
19
0
03 Nov 2021
Effective and Privacy preserving Tabular Data Synthesizing
A. Kunar
173
6
0
11 Aug 2021
Privacy-Aware Rejection Sampling
Jordan Awan
Vinayak A. Rao
274
11
0
02 Aug 2021
Faster Rates of Private Stochastic Convex Optimization
Jinyan Su
Lijie Hu
Haiyan Zhao
294
14
0
31 Jul 2021
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), 2021
Lijie Hu
Shuo Ni
Hanshen Xiao
Haiyan Zhao
362
62
0
23 Jul 2021
Smoothed Differential Privacy
Ao Liu
Yu-Xiang Wang
Lirong Xia
478
1
0
04 Jul 2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
264
10
0
15 Jun 2021
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Hao Wu
Anthony Wirth
FedML
317
7
0
15 Jun 2021
Locally private online change point detection
Neural Information Processing Systems (NeurIPS), 2021
Thomas B. Berrett
Yi Yu
316
18
0
22 May 2021
Differentially private inference via noisy optimization
Annals of Statistics (Ann. Stat.), 2021
Marco Avella-Medina
Casey Bradshaw
Po-Ling Loh
FedML
564
37
0
19 Mar 2021
Robust and Differentially Private Mean Estimation
Neural Information Processing Systems (NeurIPS), 2021
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
349
85
0
18 Feb 2021
Differential Privacy for Government Agencies -- Are We There Yet?
Journal of the American Statistical Association (JASA), 2021
Joerg Drechsler
295
28
0
17 Feb 2021
Revenue Attribution on iOS 14 using Conversion Values in F2P Games
Frederick Ayala-Gómez
Ismo Horppu
Erlin Gülbenkoğlu
Vesa Siivola
Balázs Pejó
192
0
0
16 Feb 2021
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