Universal Adversarial Training Using Auxiliary Conditional Generative Model-Based Adversarial Attack Generation

While Machine Learning has become the holy grail of modern-day computing, it has many security flaws that have yet to be addressed and resolved. Adversarial attacks are one of these security flaws, in which an attacker appends noise to data samples that machine learning models take as input with the...

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Bibliografiska uppgifter

Huvudupphov:	Hiskias Dingeto, Juntae Kim
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-07-01
Serie:	Applied Sciences
Ämnen:	adversarial training adversarial attacks generative models conditional generative adversarial network auxiliary conditional generative adversarial networks
Länkar:	https://www.mdpi.com/2076-3417/13/15/8830
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