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Individual Fairness Revisited: Transferring Techniques from Adversarial
  Robustness

Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness

18 February 2020
Samuel Yeom
Matt Fredrikson
    AAML
ArXivPDFHTML

Papers citing "Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness"

4 / 4 papers shown
Title
Individual Fairness Guarantees for Neural Networks
Individual Fairness Guarantees for Neural Networks
Elias Benussi
A. Patané
Matthew Wicker
Luca Laurenti
Marta Kwiatkowska University of Oxford
20
21
0
11 May 2022
Latent Space Smoothing for Individually Fair Representations
Latent Space Smoothing for Individually Fair Representations
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
36
19
0
26 Nov 2021
Learning Certified Individually Fair Representations
Learning Certified Individually Fair Representations
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
15
92
0
24 Feb 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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