178 citations · 241 across the 10 of their papers we have counts for
Showing 2023 · cs.LGShow all
2 papers · 2 filters
cs.LG2023★ 5 cited
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
Tsuyoshi Idé, Naoki Abe
We address the task of probabilistic anomaly attribution in the black-box regression setting, where the goal is to compute the probability distribution of the attribution score of…
cs.LG2023★ 1 cited
Black-Box Anomaly Attribution
Tsuyoshi Idé, Naoki Abe
When the prediction of a black-box machine learning model deviates from the true observation, what can be said about the reason behind that deviation? This is a fundamental and ubi…