Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention

3 May 2024

Papers citing "Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention"

5 / 5 papers shown

Title
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 40 0 0 30 Apr 2025
Does Training on Synthetic Data Make Models Less Robust? Lingze Zhang Ellie Pavlick SyDa 84 0 0 11 Feb 2025
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 31 85 0 13 May 2022
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 97 92 0 06 Aug 2021
Privacy Preserving Face Recognition Utilizing Differential Privacy Pathum Chamikara Mahawaga Arachchige P. Bertók I. Khalil D. Liu S. Çamtepe PICV 36 114 0 21 May 2020