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Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data

Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data

23 September 2021
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
ArXivPDFHTML

Papers citing "Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data"

4 / 4 papers shown
Title
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
Chih-Cheng Rex Yuan
Bow-Yaw Wang
40
0
0
30 Apr 2025
Conformal Prediction Sets Can Cause Disparate Impact
Conformal Prediction Sets Can Cause Disparate Impact
Jesse C. Cresswell
Bhargava Kumar
Yi Sui
Mouloud Belbahri
FaML
77
1
0
17 Feb 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
26
0
0
03 Oct 2024
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive
  Markov Model
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model
Haiming Wang
Zhikun Zhang
Tianhao Wang
Shibo He
Michael Backes
Jiming Chen
Yang Zhang
25
35
0
02 Oct 2022
1