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P-TAME: Explain Any Image Classifier with Trained Perturbations
v1v2 (latest)

P-TAME: Explain Any Image Classifier with Trained Perturbations

IEEE Open Journal of Signal Processing (JOSP), 2025
29 January 2025
Mariano V. Ntrougkas
Vasileios Mezaris
Ioannis Patras
    AAMLFAtt
ArXiv (abs)PDFHTMLGithub

Papers citing "P-TAME: Explain Any Image Classifier with Trained Perturbations"

2 / 2 papers shown
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
5.2K
32,979
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,359
0
16 Feb 2016
1
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