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Selling Privacy at Auction
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Selling Privacy at Auction

5 November 2010
Arpita Ghosh
Aaron Roth
ArXiv (abs)PDFHTML

Papers citing "Selling Privacy at Auction"

43 / 43 papers shown
Title
Dynamic Private Task Assignment under Differential Privacy
Dynamic Private Task Assignment under Differential Privacy
Leilei Du
Peng Cheng
Libin Zheng
Wei Xi
Xuemin Lin
Wenjie Zhang
Jing Fang
52
1
0
19 Feb 2023
Collective Privacy Recovery: Data-sharing Coordination via Decentralized
  Artificial Intelligence
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence
Evangelos Pournaras
M. Ballandies
S. Bennati
Chien-fei Chen
FedML
110
8
0
15 Jan 2023
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive
  Mechanism Design
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Yuchang Sun
Jiawei Shao
Yuyi Mao
Songze Li
Jun Zhang
FedML
100
8
0
08 Nov 2022
Individual Privacy Accounting with Gaussian Differential Privacy
Individual Privacy Accounting with Gaussian Differential Privacy
A. Koskela
Marlon Tobaben
Antti Honkela
107
20
0
30 Sep 2022
Truthful Generalized Linear Models
Truthful Generalized Linear Models
Yuan Qiu
Jinyan Liu
Di Wang
FedML
82
3
0
16 Sep 2022
Provably Confidential Language Modelling
Provably Confidential Language Modelling
Xuandong Zhao
Lei Li
Yu Wang
MU
104
17
0
04 May 2022
Optimal and Differentially Private Data Acquisition: Central and Local
  Mechanisms
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
Alireza Fallah
A. Makhdoumi
Azarakhsh Malekian
Asuman Ozdaglar
FedML
97
32
0
10 Jan 2022
Privately Publishable Per-instance Privacy
Privately Publishable Per-instance Privacy
Rachel Redberg
Yu Wang
103
18
0
03 Nov 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
60
49
0
18 Aug 2021
Data Sharing Markets
Data Sharing Markets
M. Rasouli
Michael I. Jordan
FedML
71
20
0
19 Jul 2021
Optimal Scoring Rule Design under Partial Knowledge
Optimal Scoring Rule Design under Partial Knowledge
Yiling Chen
Fang-Yi Yu
15
4
0
15 Jul 2021
Generalization in the Face of Adaptivity: A Bayesian Perspective
Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld
Katrina Ligett
78
4
0
20 Jun 2021
Pricing Private Data with Personalized Differential Privacy and Partial
  Arbitrage Freeness
Pricing Private Data with Personalized Differential Privacy and Partial Arbitrage Freeness
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
11
0
0
04 May 2021
PCOR: Private Contextual Outlier Release via Differentially Private
  Search
PCOR: Private Contextual Outlier Release via Differentially Private Search
Masoumeh Shafieinejad
Florian Kerschbaum
Ihab F. Ilyas
13
2
0
09 Mar 2021
Privacy in Targeted Advertising: A Survey
Privacy in Targeted Advertising: A Survey
Imdad Ullah
R. Boreli
S. Kanhere
95
18
0
15 Sep 2020
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
Chi Liu
Tianqing Zhu
Jun Zhang
Wanlei Zhou
PICV
81
32
0
27 Aug 2020
Individual Privacy Accounting via a Renyi Filter
Individual Privacy Accounting via a Renyi Filter
Vitaly Feldman
Tijana Zrnic
150
90
0
25 Aug 2020
Spatial Privacy Pricing: The Interplay between Privacy, Utility and
  Price in Geo-Marketplaces
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
Kien Nguyen
John Krumm
Cyrus Shahabi
17
4
0
25 Aug 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
Ashish Dandekar
D. Basu
S. Bressan
111
8
0
02 Mar 2020
Guidelines for Implementing and Auditing Differentially Private Systems
Guidelines for Implementing and Auditing Differentially Private Systems
Daniel Kifer
Solomon Messing
Aaron Roth
Abhradeep Thakurta
Qiang Yan
84
35
0
10 Feb 2020
Optimal, Truthful, and Private Securities Lending
Optimal, Truthful, and Private Securities Lending
Emily Diana
Michael Kearns
Seth Neel
Aaron Roth
17
3
0
12 Dec 2019
Online Pricing with Reserve Price Constraint for Personal Data Markets
Online Pricing with Reserve Price Constraint for Personal Data Markets
Chaoyue Niu
Zhenzhe Zheng
Fan Wu
Shaojie Tang
Guihai Chen
55
35
0
28 Nov 2019
Trading Location Data with Bounded Personalized Privacy Loss
Trading Location Data with Bounded Personalized Privacy Loss
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
23
0
0
13 Jun 2019
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
163
126
0
04 Jun 2019
A comparison of web privacy protection techniques
A comparison of web privacy protection techniques
J. Mazel
Richard Garnier
K. Fukuda
18
30
0
19 Dec 2017
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation
  Accuracy and Individual Privacy in Crowdsensing
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing
Zhikun Zhang
Shibo He
Jiming Chen
Junshan Zhang
49
54
0
02 Nov 2017
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in
  Empirical Risk Minimization
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization
J. Pawlick
Quanyan Zhu
69
19
0
08 Jun 2017
A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation
J. Pawlick
Quanyan Zhu
142
27
0
21 Jun 2016
The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and
  Fundamental Limits
The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental Limits
Weina Wang
Lei Ying
Junshan Zhang
53
62
0
22 Mar 2016
Designing Incentive Schemes For Privacy-Sensitive Users
Designing Incentive Schemes For Privacy-Sensitive Users
Chong Huang
Lalitha Sankar
Anand D. Sarwate
29
4
0
07 Aug 2015
Truthful Linear Regression
Truthful Linear Regression
Rachel Cummings
Stratis Ioannidis
Katrina Ligett
FedML
77
61
0
10 Jun 2015
A Game-Theoretic Study on Non-Monetary Incentives in Data Analytics
  Projects with Privacy Implications
A Game-Theoretic Study on Non-Monetary Incentives in Data Analytics Projects with Privacy Implications
Michela Chessa
Jens Grossklags
Patrick Loiseau
88
40
0
10 May 2015
Heterogeneous Differential Privacy
Heterogeneous Differential Privacy
Mohammad Alaggan
Sébastien Gambs
Anne-Marie Kermarrec
53
90
0
27 Apr 2015
Low-Cost Learning via Active Data Procurement
Low-Cost Learning via Active Data Procurement
Jacob D. Abernethy
Yiling Chen
Chien-Ju Ho
Bo Waggoner
71
34
0
20 Feb 2015
Analysis of Digital Knapsack Based Sealed Bid Auction
Analysis of Digital Knapsack Based Sealed Bid Auction
Navya Chodisetti
45
0
0
01 May 2014
Buying Private Data without Verification
Buying Private Data without Verification
Arpita Ghosh
Katrina Ligett
Aaron Roth
Grant Schoenebeck
FedML
93
74
0
24 Apr 2014
Linear Regression from Strategic Data Sources
Linear Regression from Strategic Data Sources
Nicolas Gast
Stratis Ioannidis
Patrick Loiseau
Benjamin Roussillon
175
21
0
30 Sep 2013
Privacy and Mechanism Design
Privacy and Mechanism Design
Mallesh M. Pai
Aaron Roth
101
90
0
10 Jun 2013
A Theory of Pricing Private Data
A Theory of Pricing Private Data
Chao Li
D. Li
G. Miklau
Dan Suciu
FedML
76
147
0
26 Aug 2012
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns
Mallesh M. Pai
Aaron Roth
Jonathan R. Ullman
193
184
0
17 Jul 2012
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Take it or Leave it: Running a Survey when Privacy Comes at a Cost
Katrina Ligett
Aaron Roth
94
103
0
21 Feb 2012
Your browsing behavior for a Big Mac: Economics of Personal Information
  Online
Your browsing behavior for a Big Mac: Economics of Personal Information Online
J. Carrascal
Christopher J. Riederer
Vijay Erramilli
M. Cherubini
Rodrigo de Oliveira
90
173
0
28 Dec 2011
Approximate Privacy: Foundations and Quantification
Approximate Privacy: Foundations and Quantification
J. Feigenbaum
A. D. Jaggard
Michael Schapira
96
18
0
29 Oct 2009
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