Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/978-981-97-8702-9_4

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Other Link： https://dblp.uni-trier.de/db/conf/icprai/icprai2024-1.html#YamamuraOIF24

Publishing type：Research paper (scientific journal)  

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Other Link： https://dblp.uni-trier.de/db/journals/tmlr/tmlr2024.html#YamamuraOHIF24

Publishing type：Research paper (scientific journal)  

DOI： 10.48550/arXiv.2408.03972

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Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

DOI： 10.1007/s13160-023-00632-4

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Other Link： https://link.springer.com/article/10.1007/s13160-023-00632-4/fulltext.html

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Nature Singapore  

DOI： 10.1007/978-981-99-8388-9_12

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Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

DOI： 10.1007/s13160-023-00619-1

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Other Link： https://link.springer.com/article/10.1007/s13160-023-00619-1/fulltext.html

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

DOI： 10.1109/bigdata55660.2022.10020868

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Publishing type：Research paper (international conference proceedings)   Publisher：PMLR  

Deep learning models are vulnerable to adversarial examples, and adversarial
attacks used to generate such examples have attracted considerable research
interest. Although existing methods based on the steepest descent have achieved
high attack success rates, ill-conditioned problems occasionally reduce their
performance. To address this limitation, we utilize the conjugate gradient (CG)
method, which is effective for this type of problem, and propose a novel attack
algorithm inspired by the CG method, named the Auto Conjugate Gradient (ACG)
attack. The results of large-scale evaluation experiments conducted on the
latest robust models show that, for most models, ACG was able to find more
adversarial examples with fewer iterations than the existing SOTA algorithm
Auto-PGD (APGD). We investigated the difference in search performance between
ACG and APGD in terms of diversification and intensification, and define a
measure called Diversity Index (DI) to quantify the degree of diversity. From
the analysis of the diversity using this index, we show that the more diverse
search of the proposed method remarkably improves its attack success rate.

DOI： 10.48550/arXiv.2206.09628

arXiv

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Other Link： https://dblp.uni-trier.de/rec/conf/icml/2022

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.48550/arXiv.2206.09628

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Publishing type：Research paper (scientific journal)  

In the daily operation of liquefied petroleum gas service, gas providers
visit customers and replace cylinders if the gas is about to run out. For a
long time, frequent visits to customers were required because they could not
determine the amount of remaining gas without a staff visit and observation. To
solve this problem, smart meters are started to be employed to acquire gas
consumption more frequently without visiting customers. In this study, we
construct a system to optimize plans for cylinder replacement, and evaluate it
with a large-scale field test. We propose an algorithm to create a replacement
plan with three steps: estimating the replacement date, acquiring the customer
list for replacement, and determining the delivery route. A more accurate
estimation of the replacement date can be acquired with a smart meter, which is
used for making a customer list for replacement. The formulation for making a
customer list enables the gas provider to replace cylinders some days before
the date when the gas would run out. It can suppress the concentration of
replacements on certain days. Large-scale verification experiments were
performed with more than 1,000 customers in Chiba prefecture in Japan. In the
field test, the gas provider incorporated the system into its replacement
operations. Moreover, the replacement plans developed by the proposed system
were compared with that by the gas provider. Our system reduced the number of
gas cylinders with gas shortage, the number of visits without replacement due
to plenty of gas remaining, and the working duration per customer, which shows
that our system benefits both gas providers and customers.

arXiv

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Other Link： https://dblp.uni-trier.de/db/journals/corr/corr2112.html#abs-2112-12530