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Defining Locality for Surrogates in Post-hoc Interpretablity

Defining Locality for Surrogates in Post-hoc Interpretablity

Thibault Laugel
X. Renard
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
    FAtt
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Papers citing "Defining Locality for Surrogates in Post-hoc Interpretablity"

7 / 7 papers shown
Title
ExplainReduce: Summarising local explanations via proxies
ExplainReduce: Summarising local explanations via proxies
Lauri Seppäläinen
Mudong Guo
Kai Puolamäki
FAtt
68
0
0
17 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav
Evan Monroe Laufer
Dan Boneh
Kamalika Chaudhuri
106
0
0
06 Feb 2025
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
79
3,922
0
06 Feb 2018
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
134
2,854
0
14 Mar 2017
Making Tree Ensembles Interpretable
Making Tree Ensembles Interpretable
Satoshi Hara
K. Hayashi
45
71
0
17 Jun 2016
Auditing Black-box Models for Indirect Influence
Auditing Black-box Models for Indirect Influence
Philip Adler
Casey Falk
Sorelle A. Friedler
Gabriel Rybeck
C. Scheidegger
Brandon Smith
Suresh Venkatasubramanian
TDI
MLAU
87
288
0
23 Feb 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
152
7,252
0
20 Dec 2013