Search Results for author: Hideto Ogawa

Found 3 papers, 0 papers with code

Unsupposable Test-data Generation for Machine-learned Software

no code implementations21 May 2020 Naoto Sato, Hironobu Kuruma, Hideto Ogawa

If unsupposable data is included in the data generated by the decoder, the developer can recognize new unsupposable features by referring to the data.

Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges

no code implementations26 Apr 2019 Naoto Sato, Hironobu Kuruma, Yuichiroh Nakagawa, Hideto Ogawa

Given that necessity, in this paper, we propose a method for formally verifying a DTEM and, according to the result of the verification, if an input value leading to a failure is found, extracting the range in which such an input value exists.

DeepSaucer: Unified Environment for Verifying Deep Neural Networks

no code implementations9 Nov 2018 Naoto Sato, Hironobu Kuruma, Masanori Kaneko, Yuichiroh Nakagawa, Hideto Ogawa, Thai Son Hoang, Michael Butler

To apply a number of methods to the DNN, it is necessary to translate either the implementation of the DNN or the verification method so that one runs in the same environment as the other.

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