Adversarial example detection and mitigation using machine learning /
This book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security.It covers a broad range of topics, from federated learning attacks, adversarial defenses, biometric vulnerabilities, and security weaknesses in generative AI t...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2026]
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| Subjects: |
Purchase on Demand
| Call Number: |
Q325.5 .A28 2026 |
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| Notes: |
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| Call Number | Status | Get It |
| Q325.5 .A28 2026 | Available | |