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2010.04053
Cited By
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
4 October 2020
Simon Caton
C. Haas
FaML
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Papers citing
"Fairness in Machine Learning: A Survey"
50 / 316 papers shown
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
103
1
0
07 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
TDI
188
4
0
29 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing
Sofia Yfantidou
Marios Constantinides
Dimitris Spathis
Athena Vakali
Daniele Quercia
F. Kawsar
HAI
FaML
236
22
0
27 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Journal of Artificial Intelligence Research (JAIR), 2023
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
J. Herbinger
Katharina Eggensperger
FaML
359
24
0
15 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
Adrián Arnaiz-Rodríguez
Nuria Oliver
FedML
TDI
347
5
0
03 Mar 2023
Feature Importance Disparities for Data Bias Investigations
International Conference on Machine Learning (ICML), 2023
Peter W. Chang
Leor Fishman
Seth Neel
416
3
0
03 Mar 2023
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang
Qian Ke
Xilei Zhao
AI4TS
242
11
0
03 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
International Conference on Learning Representations (ICLR), 2023
Sangwon Jung
Taeeon Park
Sanghyuk Chun
Taesup Moon
189
24
0
01 Mar 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning
American Medical Informatics Association Annual Symposium (AMIA), 2023
Sirui Ding
Ruixiang Tang
Daochen Zha
Na Zou
Kai Zhang
Xiaoqian Jiang
Helen Zhou
185
12
0
18 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility
William Paul
P. Mathew
F. Alajaji
Philippe Burlina
125
2
0
15 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Andrew Bell
Lucius E.J. Bynum
Nazarii Drushchak
Tetiana Herasymova
Lucas Rosenblatt
Julia Stoyanovich
147
30
0
13 Feb 2023
Improving Recommendation Fairness via Data Augmentation
The Web Conference (WWW), 2023
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Defu Lian
Qing Cui
Jun Zhou
Meng Wang
FedML
139
64
0
13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
217
5
0
11 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI
Mohammad Tahaei
Marios Constantinides
Daniele Quercia
Michael J. Muller
AI4TS
285
15
0
10 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
International Conference on Extending Database Technology (EDBT), 2023
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
179
1
0
05 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
259
14
0
03 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Computer Vision and Pattern Recognition (CVPR), 2023
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
507
50
0
26 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling
Proceedings of the VLDB Endowment (PVLDB), 2022
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
237
13
0
21 Dec 2022
Provable Fairness for Neural Network Models using Formal Verification
Giorgian Borca-Tasciuc
Xingzhi Guo
Stanley Bak
Steven Skiena
197
7
0
16 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
ACM Computing Surveys (ACM CSUR), 2022
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Bo Pan
285
56
0
07 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
203
29
0
25 Nov 2022
Fairness Increases Adversarial Vulnerability
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
218
7
0
21 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu
Alex J. Chan
B. V. Breugel
M. Schaar
FaML
194
5
0
11 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser
Christoph Kern
David Rügamer
FaML
145
6
0
04 Nov 2022
Fair and Optimal Classification via Post-Processing
International Conference on Machine Learning (ICML), 2022
Ruicheng Xian
Lang Yin
Han Zhao
FaML
421
46
0
03 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
IEEE Transactions on Evolutionary Computation (TEVC), 2022
Qingquan Zhang
Jialin Liu
Zeqi Zhang
J. Wen
Bifei Mao
Xin Yao
FaML
190
23
0
30 Oct 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
296
28
0
28 Oct 2022
Private and Reliable Neural Network Inference
Conference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
188
19
0
27 Oct 2022
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
International Conference on Machine Learning (ICML), 2022
Jean-Rémy Conti
Nathan Noiry
Vincent Despiegel
S. Gentric
Nathan Huet
FaML
176
15
0
24 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
Swiss Conference on Data Science (SDS), 2022
Joachim Baumann
Christoph Heitz
126
8
0
19 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum
International Conference on Conceptual Structures (ICCS), 2022
Teresa Salazar
Miguel X. Fernandes
Helder Araújo
Pedro Abreu
FedML
266
28
0
27 Sep 2022
Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara
Lorenzo Cazzaro
Claudio Lucchese
Federico Marcuzzi
193
3
0
27 Sep 2022
Fairness Reprogramming
Neural Information Processing Systems (NeurIPS), 2022
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
633
42
0
21 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
AAML
147
16
0
02 Sep 2022
Counterfactual Fairness Is Basically Demographic Parity
AAAI Conference on Artificial Intelligence (AAAI), 2022
Lucas Rosenblatt
R. T. Witter
316
21
0
07 Aug 2022
Representational Ethical Model Calibration
npj Digital Medicine (NDM), 2022
R. Carruthers
Isabel Straw
James K. Ruffle
Dan Herron
Amy Nelson
D. Bzdok
D. Fernández-Reyes
Geraint Rees
P. Nachev
224
8
0
25 Jul 2022
Towards Fairness-Aware Multi-Objective Optimization
Guo-Ding Yu
Lianbo Ma
W. Du
WenLi Du
Yaochu Jin
FaML
174
18
0
22 Jul 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
180
9
0
18 Jul 2022
Adversarial Reweighting for Speaker Verification Fairness
Interspeech (Interspeech), 2022
Minho Jin
Chelsea J.-T. Ju
Zeya Chen
Yi-Chieh Liu
J. Droppo
A. Stolcke
138
5
0
15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
357
235
0
14 Jul 2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions
José P. Pombal
André F. Cruz
Joao Bravo
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
FaML
125
10
0
13 Jul 2022
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
Patrik Kenfack
Kamil Sabbagh
Adín Ramirez Rivera
A. Khan
168
17
0
13 Jul 2022
An Approach to Ensure Fairness in News Articles
Shaina Raza
Deepak John Reji
Dora D. Liu
Syed Raza Bashir
Usman Naseem
FaML
123
1
0
08 Jul 2022
Fair Machine Learning in Healthcare: A Review
Qizhang Feng
Mengnan Du
Na Zou
Helen Zhou
FaML
436
0
0
29 Jun 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
235
5
0
27 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Neural Information Processing Systems (NeurIPS), 2022
Bang An
Zora Che
Mucong Ding
Furong Huang
233
36
0
26 Jun 2022
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education
International Conference on Artificial Intelligence in Education (AIED), 2022
Gianni Fenu
Roberta Galici
Mirko Marras
150
21
0
23 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
International Conference on Machine Learning (ICML), 2022
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
184
17
0
22 Jun 2022
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari
Michaël Perrot
FaML
240
12
0
22 Jun 2022
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
306
7
0
20 Jun 2022
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