Trojan Code: Adversarial Machine Learning and Secure AI Systems - Kassem Kallas
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Chapter 1 Introduction.- Part I Foundations of Artificial Intelligence Security.- Chapter 2 Mapping the AI-Security Battlefield: Threats Across the<BR>Machine-Learning Lifecycle.- Chapter 3 Behind the Backdoors: Threats and Safeguards for Deep-Learning Systems.- Part II Backdoor Attacks and Defenses in Deep Neural Networks.- Chapter 4 Stealthy Clean-Label Backdoors: How an Image-Classification Model C ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Autors | Kassem Kallas |
|---|---|
| Izdevējs | Springer Nature Switzerland AG |
| Izlaides gads | 2026 |
| Vāka tips | Cietais vāks |
| EAN | 9783032245212 |