A Survey on Bias and Fairness in Machine Learning

23 August 2019

Papers citing "A Survey on Bias and Fairness in Machine Learning"

50 / 1,614 papers shown

Title
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl J. Flynn Aritra Guha S. Majumdar D. Srivastava Zhen-Xiong Zhou 27 0 0 08 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain Veronika Cheplygina 10 14 0 08 Nov 2022
Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds Stefan Rass Sandra Konig Shahzad Ahmad Maksim Goman 42 11 0 07 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions Patrick Kaiser Christoph Kern David Rügamer FaML 32 5 0 04 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP Ruyuan Wan Naome A. Etori Karla A. Badillo-Urquiola Dongyeop Kang 11 8 0 03 Nov 2022
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning João Machado de Freitas Bernhard C. Geiger 32 3 0 02 Nov 2022
Balancing Utility and Fairness in Submodular Maximization (Technical Report) Yanhao Wang Yuchen Li Francesco Bonchi Ying Wang 35 5 0 02 Nov 2022
Artificial intelligence in government: Concepts, standards, and a unified framework Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 38 32 0 31 Oct 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 33 0 0 31 Oct 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 61 16 0 28 Oct 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 37 2 0 28 Oct 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 41 17 0 28 Oct 2022
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model Jean-Rémy Conti Nathan Noiry Vincent Despiegel S. Gentric Stéphan Clémençon FaML 24 14 0 24 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 37 5 0 24 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 35 32 0 24 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 33 2 0 24 Oct 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 39 15 0 22 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs Abhinanda Pal Francesco Ranzato Caterina Urban Marco Zanella FAtt 31 0 0 22 Oct 2022
Trustworthy Human Computation: A Survey H. Kashima S. Oyama Hiromi Arai Junichiro Mori 32 0 0 22 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 36 30 0 21 Oct 2022
Video Summarization Overview Mayu Otani Yale Song Yang Wang AI4TS VLM 29 10 0 21 Oct 2022
Log-linear Guardedness and its Implications Shauli Ravfogel Yoav Goldberg Ryan Cotterell 35 2 0 18 Oct 2022
Towards Fair Classification against Poisoning Attacks Han Xu Xiaorui Liu Yuxuan Wan Jiliang Tang 21 2 0 18 Oct 2022
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage Sami U Hamdan Bradley C. Love G. V. Polier Susanne Weis H. Schwender Simon B. Eickhoff K. Patil 24 8 0 17 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 32 10 0 17 Oct 2022
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems Thomas E. Doyle Victoria Tucci Calvin Zhu Yifei Zhang Basem Yassa Sajjad Rashidiani Md Asif Khan Reza Samavi Michael Noseworthy S. Yule 31 1 0 14 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
Microscopy is All You Need Sergei V. Kalinin Rama K Vasudevan Yongtao Liu Ayana Ghosh Kevin M. Roccapriore M. Ziatdinov 33 0 0 12 Oct 2022
Are Pretrained Multilingual Models Equally Fair Across Languages? Laura Cabello Piqueras Anders Søgaard 22 9 0 11 Oct 2022
Race Bias Analysis of Bona Fide Errors in face anti-spoofing Latifah Abduh I. Ivrissimtzis CVBM 55 2 0 11 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment Giuseppe Castiglione Ga Wu C. Srinivasa Simon J. D. Prince 15 4 0 10 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 30 5 0 10 Oct 2022
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization Zonghan Yang Xiaoyuan Yi Peng Li Yang Liu Xing Xie 43 33 0 10 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Angelie Kraft Ricardo Usbeck KELM 37 9 0 07 Oct 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework Anshuman Chhabra Peizhao Li P. Mohapatra Hongfu Liu OOD 36 22 0 04 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 81 59 0 04 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 78 71 0 03 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 45 22 0 03 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 33 1 0 02 Oct 2022
Social and environmental impact of recent developments in machine learning on biology and chemistry research Daniel Probst 30 1 0 01 Oct 2022
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 47 7 0 01 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 64 34 0 30 Sep 2022
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 24 4 0 29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 83 35 0 28 Sep 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 40 2 0 27 Sep 2022
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper Sam Goree G. Appleby David J. Crandall Norman Su 31 2 0 22 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 28 2 0 22 Sep 2022