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Personalized Social Recommendations - Accurate or Private?

Personalized Social Recommendations - Accurate or Private?

21 May 2011
Ashwin Machanavajjhala
Aleksandra Korolova
Atish Das Sarma
ArXiv (abs)PDFHTML

Papers citing "Personalized Social Recommendations - Accurate or Private?"

24 / 24 papers shown
Title
Privacy-Preserving ECG Data Analysis with Differential Privacy: A
  Literature Review and A Case Study
Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study
Arin Ghazarian
Jianwei Zheng
Cyril Rakovski
78
0
0
19 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
252
1
0
01 Jun 2024
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
36
0
0
11 Apr 2023
Decentralized Matrix Factorization with Heterogeneous Differential
  Privacy
Decentralized Matrix Factorization with Heterogeneous Differential Privacy
Wentao Hu
Hui Fang
38
0
0
01 Dec 2022
SoK: Differential Privacy on Graph-Structured Data
SoK: Differential Privacy on Graph-Structured Data
Tamara T. Mueller
Dmitrii Usynin
Johannes C. Paetzold
Daniel Rueckert
Georgios Kaissis
88
15
0
17 Mar 2022
AI-Ethics by Design. Evaluating Public Perception on the Importance of
  Ethical Design Principles of AI
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI
Kimon Kieslich
Birte Keller
C. Starke
35
87
0
01 Jun 2021
Privacy-accuracy trade-offs in noisy digital exposure notifications
Privacy-accuracy trade-offs in noisy digital exposure notifications
Abbass Hammoud
Y. Yu
54
0
0
08 Nov 2020
Differentially Private ADMM Algorithms for Machine Learning
Differentially Private ADMM Algorithms for Machine Learning
Tao Xu
Fanhua Shang
Yuanyuan Liu
Hongying Liu
Longjie Shen
Maoguo Gong
76
18
0
31 Oct 2020
Locality Sensitive Hashing with Extended Differential Privacy
Locality Sensitive Hashing with Extended Differential Privacy
Natasha Fernandes
Yusuke Kawamoto
Takao Murakami
57
12
0
19 Oct 2020
PRINCE: Provider-side Interpretability with Counterfactual Explanations
  in Recommender Systems
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin
Oana Balalau
Rishiraj Saha Roy
Gerhard Weikum
FAtt
102
99
0
19 Nov 2019
Differentially Private Link Prediction With Protected Connections
Differentially Private Link Prediction With Protected Connections
A. De
Soumen Chakrabarti
73
2
0
20 Jul 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
62
10
0
24 Apr 2019
Protecting User Privacy: An Approach for Untraceable Web Browsing
  History and Unambiguous User Profiles
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
Ghazaleh Beigi
Ruocheng Guo
A. Nou
Yanchao Zhang
Huan Liu
104
30
0
23 Nov 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
58
56
0
22 Oct 2018
Privacy in Social Media: Identification, Mitigation and Applications
Privacy in Social Media: Identification, Mitigation and Applications
Ghazaleh Beigi
Huan Liu
107
73
0
07 Aug 2018
User's Privacy in Recommendation Systems Applying Online Social Network
  Data, A Survey and Taxonomy
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
E. Aghasian
Saurabh Garg
James Montgomery
OffRL
14
15
0
20 Jun 2018
SynTF: Synthetic and Differentially Private Term Frequency Vectors for
  Privacy-Preserving Text Mining
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
Benjamin Weggenmann
Florian Kerschbaum
50
50
0
02 May 2018
Towards a More Reliable Privacy-preserving Recommender System
Towards a More Reliable Privacy-preserving Recommender System
Jiahui Jiang
Cheng-Te Li
Shou-de Lin
69
38
0
21 Nov 2017
Differentially Private Regression for Discrete-Time Survival Analysis
Differentially Private Regression for Discrete-Time Survival Analysis
T. Nguyen
S. Hui
38
12
0
24 Aug 2017
Differentially Private Online Learning for Cloud-Based Video
  Recommendation with Multimedia Big Data in Social Networks
Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks
Pan Zhou
Yingxue Zhou
D. Wu
Hai Jin
51
79
0
01 Sep 2015
The Application of Differential Privacy for Rank Aggregation: Privacy
  and Accuracy
The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy
Shang Shang
Tiance Wang
P. Cuff
Sanjeev R. Kulkarni
53
23
0
24 Sep 2014
Design of Policy-Aware Differentially Private Algorithms
Design of Policy-Aware Differentially Private Algorithms
Samuel Haney
Ashwin Machanavajjhala
Bolin Ding
FedML
53
0
0
14 Apr 2014
Privacy Tradeoffs in Predictive Analytics
Privacy Tradeoffs in Predictive Analytics
Stratis Ioannidis
Andrea Montanari
Udi Weinsberg
Smriti Bhagat
N. Fawaz
N. Taft
153
13
0
31 Mar 2014
Know Your Personalization: Learning Topic level Personalization in
  Online Services
Know Your Personalization: Learning Topic level Personalization in Online Services
Anirban Majumder
Nisheeth Shrivastava
66
29
0
14 Dec 2012
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