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Better sampling in explanation methods can prevent dieselgate-like
  deception

Better sampling in explanation methods can prevent dieselgate-like deception

26 January 2021
Domen Vreš
Marko Robnik-Šikonja
    AAML
ArXivPDFHTML

Papers citing "Better sampling in explanation methods can prevent dieselgate-like deception"

4 / 4 papers shown
Title
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
Lauren Alvarez
Tim Menzies
34
2
0
25 Jan 2023
EMaP: Explainable AI with Manifold-based Perturbations
EMaP: Explainable AI with Manifold-based Perturbations
Minh Nhat Vu
Huy Mai
My T. Thai
AAML
35
2
0
18 Sep 2022
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity
  Movie Recommendation Explanation Tasks
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks
Claudia V. Roberts
Ehtsham Elahi
Ashok Chandrashekar
FAtt
19
4
0
09 Jun 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1