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Measuring Fairness in Generative Models

Measuring Fairness in Generative Models

16 July 2021
Christopher T. H. Teo
Ngai-Man Cheung
    SyDa
ArXiv (abs)PDFHTMLGithub

Papers citing "Measuring Fairness in Generative Models"

23 / 23 papers shown
Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models
Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models
NaHyeon Park
Namin An
Kunhee Kim
Soyeon Yoon
Jiahao Huo
Hyunjung Shim
VLM
168
1
0
04 Dec 2025
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
Zihao Fu
Ryan Brown
Shun Shao
Kai Rawal
Eoin Delaney
Chris Russell
168
2
0
24 Oct 2025
Fit for Purpose? Deepfake Detection in the Real World
Fit for Purpose? Deepfake Detection in the Real World
Guangyu Lin
Li Lin
Christina P. Walker
Daniel S. Schiff
Shu Hu
240
2
0
18 Oct 2025
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Kang Wei
Xin Yuan
Fushuo Huo
Chuan Ma
Long Yuan
S. Li
Ming Ding
Dacheng Tao
DiffMMedIm
290
3
0
25 Sep 2025
On Optimal Steering to Achieve Exact Fairness
On Optimal Steering to Achieve Exact Fairness
Mohit Sharma
Amit Deshpande
Chiranjib Bhattacharyya
R. Shah
LLMSV
350
0
0
19 Sep 2025
Improving Fairness in LLMs Through Testing-Time Adversaries
Improving Fairness in LLMs Through Testing-Time Adversaries
Isabela Pereira Gregio
Ian Pons
Anna Helena Reali Costa
Artur Jordao
AAML
433
0
0
17 May 2025
Exploring Bias in over 100 Text-to-Image Generative Models
Exploring Bias in over 100 Text-to-Image Generative Models
Jordan Vice
Naveed Akhtar
Leonid Sigal
Lin Wang
EGVM
422
7
0
11 Mar 2025
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
Jordan Vice
Naveed Akhtar
Leonid Sigal
Richard Hartley
Lin Wang
EGVM
429
0
0
21 Nov 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image GenerationNeural Information Processing Systems (NeurIPS), 2024
Christopher T. H. Teo
Milad Abdollahzadeh
Xinda Ma
Ngai-Man Cheung
DiffM
340
7
0
24 Oct 2024
Text-to-Image Representativity Fairness Evaluation Framework
Text-to-Image Representativity Fairness Evaluation Framework
Asma Z. Yamani
Malak Baslyman
203
0
0
18 Oct 2024
A Comprehensive Survey and Classification of Evaluation Criteria for
  Trustworthy Artificial Intelligence
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial IntelligenceAI and Ethics (AI & Ethics), 2024
Louise McCormack
Malika Bendechache
XAI
360
10
0
10 Oct 2024
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
Xinyu Hou
Xiaoming Li
Chen Change Loy
DiffM
280
0
0
18 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
812
35
0
02 Jun 2024
Large-scale Reinforcement Learning for Diffusion Models
Large-scale Reinforcement Learning for Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2024
Yinan Zhang
Eric Tzeng
Yilun Du
Dmitry Kislyuk
VLM
338
83
0
20 Jan 2024
Label-Only Model Inversion Attacks via Knowledge Transfer
Label-Only Model Inversion Attacks via Knowledge TransferNeural Information Processing Systems (NeurIPS), 2023
Ngoc-Bao Nguyen
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-Man Cheung
196
37
0
30 Oct 2023
On Measuring Fairness in Generative Models
On Measuring Fairness in Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-Man Cheung
EGVM
230
8
0
30 Oct 2023
Survey of Social Bias in Vision-Language Models
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
443
34
0
24 Sep 2023
Fair GANs through model rebalancing for extremely imbalanced class
  distributions
Fair GANs through model rebalancing for extremely imbalanced class distributions
Anubhav Jain
Nasir Memon
Julian Togelius
GAN
245
1
0
16 Aug 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Hongyi Yuan
Songchi Zhou
Sheng Yu
DiffMMedIm
286
32
0
10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch
G. Dovonon
Jean Kaddour
Ricardo M. A. Silva
662
42
0
09 Mar 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
470
164
0
31 Jan 2023
Fairness in generative modeling
Fairness in generative modeling
M. Zameshina
O. Teytaud
F. Teytaud
Vlad Hosu
N. Carraz
Laurent Najman
Markus Wagner
SyDa
202
3
0
06 Oct 2022
Discovering Transferable Forensic Features for CNN-generated Images
  Detection
Discovering Transferable Forensic Features for CNN-generated Images DetectionEuropean Conference on Computer Vision (ECCV), 2022
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-Man Cheung
AAML
290
38
0
24 Aug 2022
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