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Differentially Private Shapley Values for Data Evaluation

Differentially Private Shapley Values for Data Evaluation

1 June 2022
Lauren Watson
R. Andreeva
Hao Yang
Rik Sarkar
    TDI
    FAtt
    FedML
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Papers citing "Differentially Private Shapley Values for Data Evaluation"

30 / 30 papers shown
Title
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
126
0
0
02 Dec 2024
The Shapley Value in Machine Learning
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
75
210
0
11 Feb 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
68
57
0
23 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation
  in Federated Learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedML
TDI
56
128
0
05 Sep 2021
Shapley values for feature selection: The good, the bad, and the axioms
Shapley values for feature selection: The good, the bad, and the axioms
D. Fryer
Inga Strümke
Hien Nguyen
FAtt
TDI
71
194
0
22 Feb 2021
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
87
33
0
06 Jan 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear
  Regression
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert
Su-In Lee
FAtt
54
170
0
02 Dec 2020
Efficient computation and analysis of distributional Shapley values
Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
Manuel A. Rivas
James Zou
FAtt
TDI
104
62
0
02 Jul 2020
Efficient nonparametric statistical inference on population feature
  importance using Shapley values
Efficient nonparametric statistical inference on population feature importance using Shapley values
B. Williamson
Jean Feng
FAtt
39
72
0
16 Jun 2020
A Distributional Framework for Data Valuation
A Distributional Framework for Data Valuation
Amirata Ghorbani
Michael P. Kim
James Zou
TDI
45
131
0
27 Feb 2020
Problems with Shapley-value-based explanations as feature importance
  measures
Problems with Shapley-value-based explanations as feature importance measures
Indra Elizabeth Kumar
Suresh Venkatasubramanian
C. Scheidegger
Sorelle A. Friedler
TDI
FAtt
74
362
0
25 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAtt
TDI
52
111
0
23 Feb 2020
Estimating Training Data Influence by Tracing Gradient Descent
Estimating Training Data Influence by Tracing Gradient Descent
G. Pruthi
Frederick Liu
Mukund Sundararajan
Satyen Kale
TDI
68
404
0
19 Feb 2020
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in
  Data Importance Quantification?
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
R. Jia
Fan Wu
Xuehui Sun
Jiacen Xu
David Dao
Bhavya Kailkhura
Ce Zhang
Yue Liu
D. Song
TDI
48
19
0
17 Nov 2019
Data Valuation using Reinforcement Learning
Data Valuation using Reinforcement Learning
Jinsung Yoon
Sercan O. Arik
Tomas Pfister
TDI
78
179
0
25 Sep 2019
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia
David Dao
Wei Ping
F. Hubis
Nezihe Merve Gürel
Yue Liu
Ce Zhang
C. Spanos
D. Song
TDI
FedML
51
204
0
22 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
109
4,496
0
21 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
89
996
0
23 Jul 2019
Differential Privacy Has Disparate Impact on Model Accuracy
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan
Vitaly Shmatikov
134
480
0
28 May 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Zou
TDI
FedML
72
778
0
05 Apr 2019
Towards Efficient Data Valuation Based on the Shapley Value
Towards Efficient Data Valuation Based on the Shapley Value
R. Jia
David Dao
Wei Ping
F. Hubis
Nicholas Hynes
Nezihe Merve Gürel
Yue Liu
Ce Zhang
D. Song
C. Spanos
TDI
63
412
0
27 Feb 2019
Generalization Bounds for Uniformly Stable Algorithms
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman
J. Vondrák
49
89
0
24 Dec 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and
  Divergences
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle
Gilles Barthe
Marco Gaboardi
77
385
0
04 Jul 2018
Finding Influential Training Samples for Gradient Boosted Decision Trees
Finding Influential Training Samples for Gradient Boosted Decision Trees
B. Sharchilev
Yury Ustinovsky
P. Serdyukov
Maarten de Rijke
TDI
51
56
0
19 Feb 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
162
2,393
0
10 Jul 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
863
21,760
0
22 May 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
228
4,103
0
18 Oct 2016
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
111
1,238
0
03 Sep 2015
Stability of Multi-Task Kernel Regression Algorithms
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren
Hachem Kadri
56
15
0
17 Jun 2013
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