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Fairness-aware Adversarial Perturbation Towards Bias Mitigation for
  Deployed Deep Models

Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models

3 March 2022
Peng Kuang
Xiaowei Dong
Henry Xue
Zhifei Zhang
Weifeng Chiu
Tao Wei
Kui Ren
    AAML
ArXivPDFHTML

Papers citing "Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models"

37 / 37 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Zhiyu Li
Yang Zhang
Dong Wang
CVBM
67
0
0
03 May 2025
Attack and defense techniques in large language models: A survey and new perspectives
Attack and defense techniques in large language models: A survey and new perspectives
Zhiyu Liao
Kang Chen
Yuanguo Lin
Kangkang Li
Yunxuan Liu
Hefeng Chen
Xingwang Huang
Yuanhui Yu
AAML
59
0
0
02 May 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma
Rongchang Zhao
Xi Xiao
Hongyang Xie
Tianyang Wang
Xuben Wang
Huatian Zhang
Yanning Shen
65
1
0
11 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
58
0
0
08 Mar 2025
Effective Guidance for Model Attention with Simple Yes-no Annotations
Effective Guidance for Model Attention with Simple Yes-no Annotations
Seongmin Lee
Ali Payani
Duen Horng Chau
FAtt
47
0
0
29 Oct 2024
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
Jiaqi Xue
Qian Lou
Mengxin Zheng
31
1
0
23 Oct 2024
Strategic Demonstration Selection for Improved Fairness in LLM
  In-Context Learning
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
Jingyu Hu
Weiru Liu
Mengnan Du
30
2
0
19 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Boddeti
47
4
0
05 Aug 2024
Breaking the Global North Stereotype: A Global South-centric Benchmark
  Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
Siddharth D. Jaiswal
Animesh Ganai
A. Dash
Saptarshi Ghosh
Animesh Mukherjee
CVBM
50
2
0
22 Jul 2024
FairViT: Fair Vision Transformer via Adaptive Masking
FairViT: Fair Vision Transformer via Adaptive Masking
Bowei Tian
Ruijie Du
Yanning Shen
40
1
0
20 Jul 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image
  Segmentation and Classification
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian
Congcong Wen
Min Shi
Muhammad Muneeb Afzal
Hao Huang
Muhammad Osama Khan
Yan Luo
Yi Fang
Mengyu Wang
OOD
63
7
0
11 Jul 2024
fairBERTs: Erasing Sensitive Information Through Semantic and
  Fairness-aware Perturbations
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations
Jinfeng Li
YueFeng Chen
Xiangyu Liu
Longtao Huang
Rong Zhang
Hui Xue
AAML
37
0
0
11 Jul 2024
Fairness and Bias in Multimodal AI: A Survey
Fairness and Bias in Multimodal AI: A Survey
Tosin Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
63
9
0
27 Jun 2024
Achieving Fairness Through Channel Pruning for Dermatological Disease
  Diagnosis
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
Qingpeng Kong
Ching-Hao Chiu
Dewen Zeng
Yu-Jen Chen
Tsung-Yi Ho
Jingtong Hu
Yiyu Shi
59
0
0
14 May 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy
  Enhancement
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla
Dhruv Srikanth
Lee Cohen
Matthew A. Turk
AAML
42
0
0
18 Apr 2024
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing
  Biased Rules
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules
Yi Zhang
Dongyuan Lu
Jitao Sang
FaML
37
1
0
07 Apr 2024
Distributionally Generative Augmentation for Fair Facial Attribute
  Classification
Distributionally Generative Augmentation for Fair Facial Attribute Classification
Fengda Zhang
Qianpei He
Kun Kuang
Jiashuo Liu
Long Chen
Chao-Xiang Wu
Jun Xiao
Hanwang Zhang
CVBM
44
8
0
11 Mar 2024
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for
  Unfairness Mitigation
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
Zikang Xu
Fenghe Tang
Quan Quan
Qingsong Yao
S. Kevin Zhou
51
3
0
08 Mar 2024
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits
  Space
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space
Hao-Wei Chung
Ching-Hao Chiu
Yu-Jen Chen
Yiyu Shi
Tsung-Yi Ho
FaML
42
0
0
20 Feb 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with
  Contrastive Learning in Multimodal Electronic Health Records
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Yuqing Wang
Malvika Pillai
Yun Zhao
Catherine M. Curtin
Tina Hernandez-Boussard
32
0
0
01 Feb 2024
Achieve Fairness without Demographics for Dermatological Disease
  Diagnosis
Achieve Fairness without Demographics for Dermatological Disease Diagnosis
Ching-Hao Chiu
Yu-Jen Chen
Yawen Wu
Yiyu Shi
Tsung-Yi Ho
43
4
0
16 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image
  Classification Models
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
Junjie Yang
Jiajun Jiang
Zeyu Sun
Junjie Chen
31
2
0
08 Jan 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness
  Learning Using Segment Anything Model with Fair Error-Bound Scaling
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian
Minfei Shi
Yan Luo
Ava Kouhana
T. Elze
Mengyu Wang
18
5
0
03 Nov 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair
  Identity Scaling
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
Yan Luo
Muhammad Osama Khan
Yu Tian
Minfei Shi
Zehao Dou
T. Elze
Yi Fang
Mengyu Wang
17
7
0
03 Oct 2023
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task
  Learning
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
Jia Luo Peng
Keng Wei Chang
Shang-Hong Lai
21
2
0
19 Sep 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations
  toward Top-$k$ Multi-Label Learning
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-kkk Multi-Label Learning
Yuchen Sun
Qianqian Xu
Zitai Wang
Qingming Huang
AAML
30
1
0
27 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective
On the Cause of Unfairness: A Training Sample Perspective
Yuanshun Yao
Yang Liu
TDI
44
0
0
30 Jun 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness
  Learning and Fair Identity Normalization
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Yan Luo
Yu Tian
Minfei Shi
Louis R. Pasquale
Lucy Q. Shen
Nazlee Zebardast
T. Elze
Mengyu Wang
39
18
0
15 Jun 2023
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing
  Bias in Robotic Assistance
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance
Jie Zhu
Mengsha Hu
Xueyao Liang
Amy Zhang
Ruoming Jin
Rui Liu
24
1
0
07 Jun 2023
Learning by Grouping: A Multilevel Optimization Framework for Improving
  Fairness in Classification without Losing Accuracy
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
Ramtin Hosseini
Li Zhang
Bhanu Garg
P. Xie
FaML
14
0
0
02 Apr 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
29
0
0
25 Mar 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study
  in Speech Recognition
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
16
2
0
17 Feb 2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Fairness-aware Vision Transformer via Debiased Self-Attention
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
71
8
0
31 Jan 2023
Fair Multi-Exit Framework for Facial Attribute Classification
Fair Multi-Exit Framework for Facial Attribute Classification
Ching-Hao Chiu
Hao-Wei Chung
Yu-Jen Chen
Yiyu Shi
Tsung-Yi Ho
CVBM
16
4
0
08 Jan 2023
Improving Fairness in Image Classification via Sketching
Improving Fairness in Image Classification via Sketching
Ruichen Yao
Ziteng Cui
Xiaoxiao Li
Lin Gu
38
15
0
31 Oct 2022
On Biased Behavior of GANs for Face Verification
On Biased Behavior of GANs for Face Verification
Sasikanth Kotti
Mayank Vatsa
Richa Singh
CVBM
27
1
0
27 Aug 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive
  Learning
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
32
21
0
22 Aug 2022
1