A Survey on Bias and Fairness in Machine Learning

23 August 2019

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

50 / 1,604 papers shown

Title
Simmering: Sufficient is better than optimal for training neural networks Irina Babayan Hazhir Aliahmadi G. Anders 17 0 0 25 Oct 2024
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment S. A. Rizvi Aryan Seth Pratik Narang 18 0 0 25 Oct 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 21 0 0 24 Oct 2024
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers Jiaqi Xue Qian Lou Mengxin Zheng 26 1 0 23 Oct 2024
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 26 0 0 22 Oct 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 34 1 0 22 Oct 2024
Revealing Hidden Bias in AI: Lessons from Large Language Models Django Beatty Kritsada Masanthia Teepakorn Kaphol Niphan Sethi 20 1 0 22 Oct 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models Chen Qian Dongrui Liu Jie Zhang Yong Liu Jing Shao 29 1 0 22 Oct 2024
Fairness Evaluation with Item Response Theory Ziqi Xu Sevvandi Kandanaarachchi Cheng Soon Ong Eirini Ntoutsi 24 1 0 20 Oct 2024
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI Hangzhi Guo Pranav Narayanan Venkit Eunchae Jang Mukund Srinath Wenbo Zhang Bonam Mingole Vipul Gupta Kush R. Varshney S. Shyam Sundar A. Yadav 46 3 0 20 Oct 2024
The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks Daniel Ayzenshteyn Roy Weiss Yisroel Mirsky AAML 26 0 0 20 Oct 2024
CosFairNet:A Parameter-Space based Approach for Bias Free Learning Rajeev Ranjan Dwivedi Priyadarshini Kumari Vinod K Kurmi 21 0 0 19 Oct 2024
Bias Amplification: Large Language Models as Increasingly Biased Media Ze Wang Zekun Wu Jeremy Zhang Navya Jain Xin Guan Skylar Lu Saloni Gupta Adriano Soares Koshiyama 37 0 0 19 Oct 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Baiqi Li Zhiqiu Lin Wenxuan Peng Jean de Dieu Nyandwi Daniel Jiang Zixian Ma Simran Khanuja Ranjay Krishna Graham Neubig Deva Ramanan AAML CoGe VLM 69 21 0 18 Oct 2024
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation Teerath Kumar Alessandra Mileo Malika Bendechache CVBM 16 0 0 17 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 20 1 0 17 Oct 2024
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education Iain Xie Weissburg Sathvika Anand Sharon Levy Haewon Jeong 48 1 0 17 Oct 2024
FairGLVQ: Fairness in Partition-Based Classification Felix Störck Fabian Hinder Johannes Brinkrolf Benjamin Paassen Valerie Vaquet Barbara Hammer VLM FaML 20 0 0 16 Oct 2024
Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction Kaiqiao Han Tianqing Fang Zhaowei Wang Y. Song Mark Steedman LRM 32 4 0 15 Oct 2024
Towards Fair Graph Representation Learning in Social Networks Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 21 0 0 15 Oct 2024
Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 44 0 0 10 Oct 2024
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence Louise McCormack Malika Bendechache XAI 29 0 0 10 Oct 2024
Mitigation of gender bias in automatic facial non-verbal behaviors generation Alice Delbosc M. Ochs Nicolas Sabouret Brian Ravenet Stéphane Ayache 29 0 0 09 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 18 0 0 09 Oct 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 20 0 0 08 Oct 2024
Fair-OBNC: Correcting Label Noise for Fairer Datasets Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 30 0 0 08 Oct 2024
Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science Ziwei Dong Ameya Patil Yuichi Shoda Leilani Battle Emily Wall AI4CE 20 1 0 07 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 21 1 0 07 Oct 2024
Adversarial Multi-Agent Evaluation of Large Language Models through Iterative Debates Chaithanya Bandi Abir Harrasse LLMAG ELM 24 3 0 07 Oct 2024
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation Tunazzina Islam Dan Goldwasser 36 1 0 07 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 31 3 0 06 Oct 2024
Aligning LLMs with Individual Preferences via Interaction Shujin Wu May Fung Cheng Qian Jeonghwan Kim Dilek Z. Hakkani-Tür Heng Ji 26 10 0 04 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport Abigail Langbridge Anthony Quinn Robert Shorten 22 1 0 03 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 27 1 0 02 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 28 0 0 02 Oct 2024
Generative AI and Perceptual Harms: Who's Suspected of using LLMs? Kowe Kadoma D. Metaxa Mor Naaman 32 3 0 01 Oct 2024
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes Manh Khoi Duong Stefan Conrad 25 4 0 01 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 21 0 0 30 Sep 2024
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning Yasin I. Tepeli Joana P. Gonçalves FaML 27 2 0 30 Sep 2024
TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning Joshua Forster Feinglass Yezhou Yang 26 0 0 30 Sep 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization Shahed Masoudian Markus Frohmann Navid Rekabsaz Markus Schedl 23 0 0 29 Sep 2024
Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure Mahasweta Chakraborti Bert Joseph Prestoza Nicholas Vincent Seth Frey 34 1 0 27 Sep 2024
Fairness-aware Multiobjective Evolutionary Learning Qingquan Zhang Jialin Liu Xin Yao 23 1 0 27 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 18 10 0 26 Sep 2024
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty Yinong Wang Jialu Gao Runkai Zheng Cheng Zhang Fernando De la Torre 28 2 0 26 Sep 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 21 0 0 26 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 31 3 0 25 Sep 2024
Setting the AI Agenda -- Evidence from Sweden in the ChatGPT Era Bastiaan Bruinsma Annika Fredén Kajsa Hansson Moa Johansson Pasko Kisić-Merino Denitsa Saynova 31 0 0 25 Sep 2024
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions Rajesh Ranjan Shailja Gupta Surya Narayan Singh 31 8 0 24 Sep 2024