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Adversarial Machine Learning in Healthcare: Defending AI Applications from Cyber Attack
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Adversarial Machine Learning in Healthcare: Defending AI Applications from Cyber Attack
This book addresses an urgent and emerging security threat in healthcare: direct attacks against the artificial intelligence models used in diagnostics and treatment. This book explains these specific threats in detail and its mitigations. It is a practical guide for building stronger, more secure AI systems that can resist these attacks.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 8 de abril de 2027 |
| ISBN13 | 9781041210979 |
| Editores | Taylor & Francis Ltd |
| Páginas | 304 |
| Dimensiones | 150 × 220 × 20 mm · 490 g (Peso (estimado)) |
| Editor | Farhan, Maruf |
| Editor | Salih, Abdur Rahman |
| Editor | Schetinin, Vitaly |
| Editor | Sulaiman, Rejwan Bin |
