FairGAN: Fairness-aware Generative Adversarial Networks

28 May 2018

Shuhan Yuan

Papers citing "FairGAN: Fairness-aware Generative Adversarial Networks"

50 / 67 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning Yifan Liu Ruichen Yao Y. Liu Ruohan Zong Zehan Li Yang Zhang Dong Wang CVBM 61 0 0 03 May 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 39 0 0 03 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 38 6 0 21 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 34 8 0 12 Apr 2024
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models Hidir Yesiltepe Kiymet Akdemir Pinar Yanardag 29 3 0 28 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 58 18 0 28 Feb 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You Felix Friedrich Katharina Hämmerl P. Schramowski Manuel Brack Jindrich Libovický Kristian Kersting Alexander Fraser EGVM 26 10 0 29 Jan 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 40 1 0 10 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 34 2 0 26 Oct 2023
Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group Kidist Amde Mekonnen CVBM 25 2 0 07 Aug 2023
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation Haitham Khedr Yasser Shoukry 47 5 0 22 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 38 120 0 07 Feb 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 30 97 0 31 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 38 57 0 18 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 27 28 0 13 Dec 2022
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 21 24 0 02 Dec 2022
Improving Fairness in Image Classification via Sketching Ruichen Yao Ziteng Cui Xiaoxiao Li Lin Gu 33 15 0 31 Oct 2022
FairGen: Fair Synthetic Data Generation B. Chaudhari Himanshu Choudhary Aakash Agarwal Kamna Meena Tanmoy Bhowmik 21 3 0 24 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 26 0 0 09 Oct 2022
Fairness in generative modeling M. Zameshina O. Teytaud F. Teytaud Vlad Hosu N. Carraz Laurent Najman Markus Wagner SyDa 28 2 0 06 Oct 2022
Information Removal at the bottleneck in Deep Neural Networks Enzo Tartaglione 51 2 0 30 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 32 7 0 17 Sep 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 29 8 0 14 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience Rongguang Wang V. Bashyam Zhijian Yang Fanyang Yu Vasiliki Tassopoulou ... Dushyant Sahoo K. Nikita Ahmed Abdulkadir J. Wen Christos Davatzikos GAN MedIm AI4CE 28 46 0 14 Jun 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks Haitham Khedr Yasser Shoukry FedML 26 20 0 20 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 35 11 0 13 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 32 11 0 10 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 37 1 0 26 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 27 5 0 13 Apr 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 35 15 0 23 Mar 2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model Beatrice Nobile G. Santin Bruno Lepri P. Brutti SyDa 14 1 0 11 Mar 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 22 0 20 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 25 16 0 07 Feb 2022
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Minguk Kang Woohyeon Shim Minsu Cho Jaesik Park GAN 39 108 0 01 Nov 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 37 105 0 25 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models Ambrish Rawat Killian Levacher M. Sinn AAML 30 11 0 03 Aug 2021
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study Zhenyu Wu Zhaowen Wang Ye Yuan Jianming Zhang Zhangyang Wang Hailin Jin 42 4 0 23 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 35 39 0 23 Jun 2021
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems Babak Barazandeh Tianjian Huang George Michailidis 32 12 0 10 Jun 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021