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Fast Differentially Private Matrix Factorization

Fast Differentially Private Matrix Factorization

6 May 2015
Ziqi Liu
Yu-Xiang Wang
Alex Smola
    FedML
ArXivPDFHTML

Papers citing "Fast Differentially Private Matrix Factorization"

42 / 42 papers shown
Title
Privacy-preserving recommender system using the data collaboration
  analysis for distributed datasets
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
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
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
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
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
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
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
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
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
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
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
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
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
Privately Publishable Per-instance Privacy
Rachel Redberg
Yu-Xiang Wang
8
17
0
03 Nov 2021
One-Bit Matrix Completion with Differential Privacy
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
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
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
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
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
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
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
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
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
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
Differentially Private Link Prediction With Protected Connections
A. De
Soumen Chakrabarti
16
2
0
20 Jul 2019
SoK: Differential Privacies
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
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
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
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
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
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
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
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
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
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
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
Differentially Private Neighborhood-based Recommender Systems
Jun Wang
Qiang Tang
16
11
0
09 Jan 2017
CuMF_SGD: Fast and Scalable Matrix Factorization
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
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
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
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
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,260
0
09 Jun 2012
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