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2002.11651
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Fair Learning with Private Demographic Data
International Conference on Machine Learning (ICML), 2020
26 February 2020
Hussein Mozannar
Mesrob I. Ohannessian
Nathan Srebro
Re-assign community
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Papers citing
"Fair Learning with Private Demographic Data"
50 / 51 papers shown
Optimal Fairness under Local Differential Privacy
Hrad Ghoukasian
S. Asoodeh
208
0
0
20 Nov 2025
Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
Kangkang Sun
Jun Wu
Minyi Guo
Jianhua Li
Jianwei Huang
FedML
243
0
0
30 Oct 2025
Quantifying Query Fairness Under Unawareness
Thomas Jaenich
Alejandro Moreo
Alessandro Fabris
Graham McDonald
Andrea Esuli
Iadh Ounis
Fabrizio Sebastiani
283
2
0
04 Jun 2025
Private Rate-Constrained Optimization with Applications to Fair Learning
Mohammad Yaghini
Tudor Cebere
Michael Menart
A. Bellet
Nicolas Papernot
302
0
0
28 May 2025
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
Tianhe Zhang
Suhan Liu
Peng Shi
FaML
306
0
0
16 Apr 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
International Conference on Learning Representations (ICLR), 2024
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
401
1
0
03 Oct 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
Ferdinando Fioretto
Diptangshu Sen
Juba Ziani
223
1
0
08 Aug 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
320
5
0
16 Jun 2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
IEEE Computer Security Foundations Symposium (CSF), 2024
K. Makhlouf
Tamara Stefanovic
Héber H. Arcolezi
C. Palamidessi
321
6
0
23 May 2024
Differentially Private Post-Processing for Fair Regression
Ruicheng Xian
Qiaobo Li
Gautam Kamath
Han Zhao
456
9
0
07 May 2024
Differentially Private Fair Binary Classifications
Hrad Ghoukasian
S. Asoodeh
FaML
293
6
0
23 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
512
0
0
20 Feb 2024
Regulation Games for Trustworthy Machine Learning
Mohammad Yaghini
Patty Liu
Franziska Boenisch
Nicolas Papernot
FaML
288
3
0
05 Feb 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
364
7
0
22 Dec 2023
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
K. Makhlouf
Héber H. Arcolezi
Sami Zhioua
G. B. Brahim
C. Palamidessi
439
10
0
07 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning
International Symposium on Emerging Information Security and Applications (EISA), 2023
Kangkang Sun
Xiaojin Zhang
Xi Lin
Gaolei Li
Jing Wang
Jianhua Li
196
8
0
30 Nov 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Hadi Elzayn
Emily Black
Patrick Vossler
Nathanael Jo
Jacob Goldin
Daniel E. Ho
199
7
0
02 Oct 2023
Unlocking Accuracy and Fairness in Differentially Private Image Classification
Leonard Berrada
Soham De
J. Shen
Jamie Hayes
Robert Stanforth
David Stutz
Pushmeet Kohli
Samuel L. Smith
Borja Balle
269
22
0
21 Aug 2023
When Fair Classification Meets Noisy Protected Attributes
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Avijit Ghosh
Pablo Kvitca
Chris L. Wilson
FaML
315
10
0
06 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
338
84
0
25 Jun 2023
Sampling Individually-Fair Rankings that are Always Group Fair
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Sruthi Gorantla
Anay Mehrotra
Amit Deshpande
Anand Louis
FedML
FaML
225
4
0
21 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI
Caesar Wu
Yuan-Fang Li
Pascal Bouvry
425
3
0
01 Jun 2023
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
362
0
0
25 May 2023
On the Fairness Impacts of Private Ensembles Models
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Cuong Tran
Ferdinando Fioretto
248
7
0
19 May 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness
Database Security (DBSec), 2023
Héber H. Arcolezi
K. Makhlouf
C. Palamidessi
412
10
0
25 Apr 2023
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
Mohammad Yaghini
Patty Liu
Franziska Boenisch
Nicolas Papernot
FedML
FaML
364
10
0
17 Feb 2023
Group Fairness with Uncertainty in Sensitive Attributes
Abhin Shah
Maohao Shen
J. Jon Ryu
Subhro Das
P. Sattigeri
Yuheng Bu
G. Wornell
FaML
319
5
0
16 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Shubham Sharma
Sanghamitra Dutta
Alan Mishler
S. Garg
404
7
0
02 Feb 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
IEEE International Conference on Data Engineering (ICDE), 2023
He Zhang
Lizhen Qu
Shirui Pan
323
19
0
30 Jan 2023
Fair Ranking with Noisy Protected Attributes
Neural Information Processing Systems (NeurIPS), 2022
Anay Mehrotra
Nisheeth K. Vishnoi
301
23
0
30 Nov 2022
Differential Privacy has Bounded Impact on Fairness in Classification
International Conference on Machine Learning (ICML), 2022
Paul Mangold
Michaël Perrot
A. Bellet
Marc Tommasi
355
29
0
28 Oct 2022
Stochastic Differentially Private and Fair Learning
International Conference on Learning Representations (ICLR), 2022
Andrew Lowy
Devansh Gupta
Meisam Razaviyayn
FaML
FedML
391
19
0
17 Oct 2022
Outlier-Robust Group Inference via Gradient Space Clustering
Yuchen Zeng
Kristjan Greenewald
Kangwook Lee
Justin Solomon
Mikhail Yurochkin
193
2
0
13 Oct 2022
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen
Yueqing Liang
Xiongxiao Xu
Shangyu Xie
A. Kundu
Ali Payani
Yuan Hong
Kai Shu
238
9
0
18 Jul 2022
Disparate Impact in Differential Privacy from Gradient Misalignment
International Conference on Learning Representations (ICLR), 2022
Maria S. Esipova
Atiyeh Ashari Ghomi
Yaqiao Luo
Jesse C. Cresswell
409
43
0
15 Jun 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
226
12
0
11 Apr 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
Keyu Zhu
FaML
292
72
0
16 Feb 2022
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
300
25
0
26 Oct 2021
Fairness-Driven Private Collaborative Machine Learning
Dana Pessach
Tamir Tassa
E. Shmueli
FedML
241
8
0
29 Sep 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
231
139
0
27 Sep 2021
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Cuong Tran
M. H. Dinh
Kyle Beiter
Ferdinando Fioretto
289
14
0
17 Sep 2021
Federated Learning Meets Fairness and Differential Privacy
International Conference on Neural Information Processing (ICONIP), 2021
P. Manisha
Sankarshan Damle
Sujit Gujar
FedML
286
22
0
23 Aug 2021
Statistical Guarantees for Fairness Aware Plug-In Algorithms
Drona Khurana
S. Ravichandran
Sparsh Jain
N. Edakunni
FaML
252
0
0
27 Jul 2021
Differentially Empirical Risk Minimization under the Fairness Lens
Neural Information Processing Systems (NeurIPS), 2021
Cuong Tran
My H. Dinh
Ferdinando Fioretto
285
58
0
04 Jun 2021
Fairly Private Through Group Tagging and Relation Impact
Modeling Decisions for Artificial Intelligence (MDAI), 2021
Poushali Sengupta
Subhankar Mishra
196
1
0
15 May 2021
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy
Sina Baharlouei
Rakesh Pavan
Meisam Razaviyayn
Ahmad Beirami
FaML
436
29
0
24 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data
Journal of machine learning research (JMLR), 2021
Nikola Konstantinov
Christoph H. Lampert
325
22
0
11 Feb 2021
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
Somayeh Sojoudi
387
32
0
07 Dec 2020
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
AAAI Conference on Artificial Intelligence (AAAI), 2020
Cuong Tran
Ferdinando Fioretto
Pascal Van Hentenryck
FedML
252
90
0
26 Sep 2020
Balance is key: Private median splits yield high-utility random trees
Shorya Consul
Sinead Williamson
286
2
0
15 Jun 2020
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