Fair SA: Sensitivity Analysis for Fairness in Face Recognition

Fair SA: Sensitivity Analysis for Fairness in Face Recognition

8 February 2022

Aparna R. Joshi

Luca Zappella

Papers citing "Fair SA: Sensitivity Analysis for Fairness in Face Recognition"

9 / 9 papers shown

Title
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 51 0 0 12 Mar 2025
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels Tetsushi Ohki Y. Sato M. Nishigaki Koichi Ito 22 1 0 14 Sep 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew A. Turk AAML 40 0 0 18 Apr 2024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 21 22 0 03 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 35 0 0 30 Nov 2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 35 15 0 12 Apr 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks Mahum Naseer B. Prabakaran Osman Hasan Muhammad Shafique 21 7 0 24 Feb 2023
Designing Data: Proactive Data Collection and Iteration for Machine Learning Aspen K. Hopkins Fred Hohman Luca Zappella Xavier Suau Cuadros Dominik Moritz 17 6 0 24 Jan 2023
Does lossy image compression affect racial bias within face recognition? Seyma Yucer Matt Poyser Noura Al Moubayed T. Breckon CVBM 40 4 0 16 Aug 2022