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Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
29 April 2024
Xi Xin
Giles Hooker
Fei Huang
AAML
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ArXiv
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Papers citing
"Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots"
3 / 3 papers shown
Title
Explainable AI the Latest Advancements and New Trends
Bowen Long
Enjie Liu
Renxi Qiu
Yanqing Duan
XAI
14
0
0
11 May 2025
Explainable AI needs formal notions of explanation correctness
Stefan Haufe
Rick Wilming
Benedict Clark
Rustam Zhumagambetov
Danny Panknin
Ahcène Boubekki
XAI
26
0
0
22 Sep 2024
Towards Explainability of Machine Learning Models in Insurance Pricing
Kevin Kuo
Danielle L. Lupton
23
13
0
24 Mar 2020
1