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Improving LIME Robustness with Smarter Locality Sampling
v1v2v3 (latest)

Improving LIME Robustness with Smarter Locality Sampling

22 June 2020
Sean Saito
Eugene Chua
Nicholas Capel
Rocco Hu
    FAttAAML
ArXiv (abs)PDFHTML

Papers citing "Improving LIME Robustness with Smarter Locality Sampling"

4 / 4 papers shown
Title
Coherent Local Explanations for Mathematical Optimization
Coherent Local Explanations for Mathematical Optimization
Daan Otto
Jannis Kurtz
S. Ilker Birbil
97
0
0
07 Feb 2025
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation
  Methods
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Dylan Slack
Sophie Hilgard
Emily Jia
Sameer Singh
Himabindu Lakkaraju
FAttAAMLMLAU
73
819
0
06 Nov 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
116
1,255
0
01 Jul 2019
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
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