DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

25 October 2021

Papers citing "DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks"

28 / 28 papers shown

Title
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 46 0 0 20 Apr 2025
Diffusion Transformers for Tabular Data Time Series Generation Fabrizio Garuti E. Sangineto Simone Luetto L. Forni Rita Cucchiara 57 0 0 10 Apr 2025
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review Nazia Nafis Inaki Esnaola Alvaro Martinez-Perez Maria-Cruz Villa-Uriol Venet Osmani LMTD 47 0 0 10 Apr 2025
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering Yuan Sui Yufei He Zifeng Ding Bryan Hooi HILM ELM RALM 64 7 0 20 Feb 2025
Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation - Extended Version Muhammad Rajabinasab A. Lautrup Arthur Zimek 55 0 0 17 Jan 2025
Deep generative models as an adversarial attack strategy for tabular machine learning Salijona Dyrmishi Mihaela C. Stoian Eleonora Giunchiglia Maxime Cordy AAML LMTD 21 0 0 19 Sep 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 37 2 0 11 Jun 2024
Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators Narasimha Raghavan Mohammad Hossein Tabatabaei Severin Elvatun V. Vallevik S. Larønningen J. F. Nygård 40 2 0 12 May 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 22 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
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 43 18 0 28 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 67 0 0 06 Feb 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 32 1 0 10 Nov 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 30 9 0 31 Jul 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 19 45 0 24 Feb 2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy Mengyun Qiao Shuo Wang Huaqi Qiu A. de Marvao D. O’Regan Daniel Rueckert Wenjia Bai MedIm 21 14 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 45 11 0 29 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 28 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 30 0 0 03 Jan 2023
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 31 2 0 01 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 27 1 0 20 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 13 0 0 09 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 22 8 0 14 Sep 2022
De-Biasing Generative Models using Counterfactual Methods Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Gregory Pottie CML 21 7 0 04 Jul 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 35 109 0 06 May 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 45 186 0 17 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 488 0 31 Dec 2020