Attacks on the neural network and defense methods
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Abstract (arXiv)
This article will discuss the use of attacks on a neural network trained on audio data, as well as possible methods of protection against these attacks. FGSM, PGD and CW attacks, as well as data poisoning, will be considered. Within the framework of protection, Art-IBM and advertorch libraries will be considered. The obtained accuracy metrics within the framework of attack applications are presented
Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 29 Dec 2024.
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