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1505.01419
Cited By
Fast Differentially Private Matrix Factorization
6 May 2015
Ziqi Liu
Yu-Xiang Wang
Alex Smola
FedML
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Papers citing
"Fast Differentially Private Matrix Factorization"
42 / 42 papers shown
Title
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
Tomoya Yanagi
Shunnosuke Ikeda
Noriyoshi Sukegawa
Yuichi Takano
FedML
18
2
0
24 May 2024
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization
Mengyue Zha
33
0
0
24 Mar 2024
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
Shuya Feng
Meisam Mohammady
Han Wang
Xiaochen Li
Zhan Qin
Yuan Hong
18
6
0
07 Dec 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee
Hanseul Cho
Se-Young Yun
Chulhee Yun
17
5
0
28 Oct 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
Wentao Hu
Hui Fang
17
2
0
17 Sep 2023
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
Craig Boutilier
Martin Mladenov
Guy Tennenholtz
OffRL
CML
26
8
0
08 Sep 2023
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Sohan Salahuddin Mugdho
H. Imtiaz
14
0
0
11 Apr 2023
Fairness-aware Differentially Private Collaborative Filtering
Zhenhuan Yang
Yingqiang Ge
Congzhe Su
Dingxian Wang
Xiaoting Zhao
Yiming Ying
FedML
17
3
0
16 Mar 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations
Mimee Xu
Jiankai Sun
Xin Yang
K. Yao
Chong-Jun Wang
MU
CML
CLL
8
11
0
13 Feb 2023
Decentralized Matrix Factorization with Heterogeneous Differential Privacy
Wentao Hu
Hui Fang
9
0
0
01 Dec 2022
Privacy-preserving Non-negative Matrix Factorization with Outliers
Swapnil Saha
H. Imtiaz
PICV
14
3
0
02 Nov 2022
Introducing the Huber mechanism for differentially private low-rank matrix completion
R. Gowtham
Gokularam M
Thulasi Tholeti
Sheetal Kalyani
11
0
0
16 Jun 2022
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Chaochao Chen
Huiwen Wu
Jiajie Su
Lingjuan Lyu
Xiaolin Zheng
L. xilinx Wang
21
70
0
10 Feb 2022
Privately Publishable Per-instance Privacy
Rachel Redberg
Yu-Xiang Wang
8
17
0
03 Nov 2021
One-Bit Matrix Completion with Differential Privacy
Zhengpin Li
Zheng Wei
Zengfeng Huang
Xiaojun Mao
Jian Wang
12
0
0
02 Oct 2021
Applying Differential Privacy to Tensor Completion
Zheng Wei
Zhengpin Li
Xiaojun Mao
Jian Wang
11
1
0
01 Oct 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
Steve Chien
Prateek Jain
Walid Krichene
Steffen Rendle
Shuang Song
Abhradeep Thakurta
Li Zhang
18
19
0
20 Jul 2021
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
Jeyamohan Neera
Xiaomin Chen
N. Aslam
Kezhi Wang
Zhan Shu
11
13
0
26 Feb 2021
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Jenn-Bing Ong
W. Ng
Ivan Tjuawinata
Chao Li
Jielin Yang
Sai None Myne
Huaxiong Wang
K. Lam
C.-C. Jay Kuo
FedML
23
3
0
04 Jan 2021
Locality Sensitive Hashing with Extended Differential Privacy
Natasha Fernandes
Yusuke Kawamoto
Takao Murakami
16
12
0
19 Oct 2020
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
Mert Al
Semih Yagli
S. Kung
17
3
0
30 Jul 2020
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features
Takao Murakami
Koki Hamada
Yusuke Kawamoto
Takuma Hatano
9
4
0
11 Nov 2019
Certified Data Removal from Machine Learning Models
Chuan Guo
Tom Goldstein
Awni Y. Hannun
L. V. D. van der Maaten
MU
12
412
0
08 Nov 2019
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Jing Ma
Qiuchen Zhang
Jian Lou
Joyce C. Ho
Li Xiong
Xiaoqian Jiang
9
44
0
26 Aug 2019
Differentially Private Link Prediction With Protected Connections
A. De
Soumen Chakrabarti
16
2
0
20 Jul 2019
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
11
121
0
04 Jun 2019
When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy
Maho Asada
Masatoshi Yoshikawa
Yang Cao
16
10
0
24 Apr 2019
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography
Maksim Tsikhanovich
M. Magdon-Ismail
M. Ishaq
Vassilis Zikas
17
4
0
23 Jan 2019
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering
Zhili Chen
Yu Wang
Shun Zhang
Hong Zhong
Lin Chen
19
27
0
05 Dec 2018
Local Obfuscation Mechanisms for Hiding Probability Distributions
Yusuke Kawamoto
Takao Murakami
11
26
0
03 Dec 2018
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations
Yehezkel S. Resheff
Yanai Elazar
Shimon Shahar
Oren Sar Shalom
FaML
8
18
0
10 Jul 2018
CryptoRec: Privacy-preserving Recommendation as a Service
Jun Wang
Afonso Arriaga
Qiang Tang
Peter Y. A. Ryan
13
3
0
07 Feb 2018
Differentially Private Matrix Completion Revisited
Prateek Jain
Om Thakkar
Abhradeep Thakurta
FedML
13
34
0
28 Dec 2017
Towards a More Reliable Privacy-preserving Recommender System
Jiahui Jiang
Cheng-Te Li
Shou-de Lin
22
35
0
21 Nov 2017
Per-instance Differential Privacy
Yu-Xiang Wang
21
5
0
24 Jul 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
S. Du
Yining Wang
Aarti Singh
11
15
0
22 Feb 2017
Differentially Private Neighborhood-based Recommender Systems
Jun Wang
Qiang Tang
16
11
0
09 Jan 2017
CuMF_SGD: Fast and Scalable Matrix Factorization
Xiaolong Xie
Wei Tan
L. Fong
Yun Liang
14
14
0
19 Oct 2016
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms
Yu-Xiang Wang
Jing Lei
S. Fienberg
9
48
0
08 May 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method
Maria-Florina Balcan
S. Du
Yining Wang
Adams Wei Yu
16
71
0
23 Feb 2016
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
Amy Zhang
N. Fawaz
Stratis Ioannidis
Andrea Montanari
36
67
0
09 Aug 2014
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,260
0
09 Jun 2012
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