Code for "Fair Classification with Adversarial Perturbations"

This repository contains the code for reproducing the simulations in our paper

Fair Classification with Adversarial Perturbations
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
NeurIPS 2021

Running the simulations

simulation-with-adversarial-perturbations-all-algorithms.ipynb contains code to reproduce the simulations in Figure 1 and Figure 7 for all algorithms except WGN+dro and WGN+SW; WGN+dro.ipynb and WGN+SW.ipynb contain code to reproduce the simulations in Figure 1 and Figure 7 for WGN+dro and WGN+SW (respectively).
simulation-with-sythentic-data.ipynb contains code to reproduce the simulation in Table 1.
simulation-with-stochastic-perturbations-all-algorithms.ipynb contains the code to reproduce the simulations in Figure 5.

This repository uses code from the following repositories

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
aif360		aif360
awasthi_equalized_odds_under_perturbation		awasthi_equalized_odds_under_perturbation
lamy_noise_fairlearn		lamy_noise_fairlearn
robust-fairness-code		robust-fairness-code
.gitignore		.gitignore
NeurIPS-logo.png		NeurIPS-logo.png
README.md		README.md
WGN+SW.ipynb		WGN+SW.ipynb
WGN+dro.ipynb		WGN+dro.ipynb
adversary-v2.png		adversary-v2.png
algorithms.py		algorithms.py
baseSimulation.py		baseSimulation.py
simulation-with-adversarial-perturbations-all-algorithms.ipynb		simulation-with-adversarial-perturbations-all-algorithms.ipynb
simulation-with-stochastic-perturbations-all-algorithms.ipynb		simulation-with-stochastic-perturbations-all-algorithms.ipynb
simulation-with-sythentic-data.ipynb		simulation-with-sythentic-data.ipynb
utils.py		utils.py