Breaking Machine Learning Models with Adversarial Attacks and its Variants
Machine learning models can be by adversarial attacks, subtle, imperceptible perturbations to inputs that cause the model to produce erroneous outputs. This tutorial introduces adversarial examples and its variants, explaining why even stateof-the-art models are vulnerable and how this impacts secu...
Uloženo v:
| Hlavní autor: | |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
LibraryPress@UF
2025-05-01
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| Edice: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| On-line přístup: | https://journals.flvc.org/FLAIRS/article/view/139042 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
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