MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack

Mutation testing (MT) for deep learning (DL) has gained huge attention in the past few years. However, how MT can really help DL is still unclear. In this paper, we introduce one promising direction for the usage of mutants. Specifically, since mutants can be seen as one kind of ensemble model and e...

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Vydané v:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1708 - 1712
Hlavní autori:	Hu, Qiang, Guo, Yuejun, Cordy, Maxime, Papadakis, Mike, Traon, Yves Le
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 11.09.2023
Predmet:	Boosting Deep learning Smoothing methods Software engineering Testing Transform coding
ISSN:	2643-1572
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