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Trojan Code: Adversarial Machine Learning and Secure AI Systems Kassem Kallas
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Trojan Code: Adversarial Machine Learning and Secure AI Systems
Kassem Kallas
color: black;">Drawing from real-world case studies in healthcare, finance, autonomous systems, and defense, the book translates academic research into practical insights for evaluating risk, designing resilient models, and understanding the economic and operational impact of AI breaches.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 27 de julio de 2026 |
| ISBN13 | 9783032245212 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 396 |
| Dimensiones | 150 × 220 × 20 mm · 626 g (Peso (estimado)) |
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