Robust Fair Clustering: A Novel Fairness Attack and Defense Framework

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework

4 October 2022

Anshuman Chhabra

Papers citing "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"

16 / 16 papers shown

Title
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 27 2 0 02 Oct 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 36 0 0 20 Jun 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 30 1 0 05 Jun 2024
Robust Fair Clustering with Group Membership Uncertainty Sets Sharmila Duppala Juan Luque John P. Dickerson Seyed-Alireza Esmaeili FaML 34 0 0 02 Jun 2024
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra Bo Li Jian Chen Prasant Mohapatra Hongfu Liu TDI 18 0 0 06 May 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 24 0 0 24 Mar 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias Anshuman Chhabra Hadi Askari Prasant Mohapatra 23 14 0 03 Jan 2024
TrojFair: Trojan Fairness Attacks Meng Zheng Jiaqi Xue Yi Sheng Lei Yang Qian Lou Lei Jiang 8 3 0 16 Dec 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 25 3 0 20 Oct 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 31 0 0 30 Jun 2023
Dual Node and Edge Fairness-Aware Graph Partition Tingwei Liu Peizhao Li Hongfu Liu 16 0 0 16 Jun 2023
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 9 9 0 29 Nov 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 30 8 0 04 Oct 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 25 45 0 01 Feb 2022
Mining Label Distribution Drift in Unsupervised Domain Adaptation Peizhao Li Zhengming Ding Hongfu Liu 8 2 0 16 Jun 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019