AI Application Security: Safeguarding Machine Learning Models From Data to Deployment
AI Application Security: Safeguarding Machine Learning Models From Data to Deployment: A Holistic Approach to Artificial Intelligence Vulnerabilities, Risk Mitigation and Trust by Corby Allen
English | March 3, 2024 | ISBN: N/A | ASIN: B0CX28TP86 | 80 pages | EPUB | 0.33 Mb
English | March 3, 2024 | ISBN: N/A | ASIN: B0CX28TP86 | 80 pages | EPUB | 0.33 Mb
In today's rapidly evolving world, AI security is no longer optional. This book addresses the growing concern surrounding AI vulnerabilities and the potential for devastating consequences if left unchecked. From biased data leading to discriminatory outcomes to malicious attacks manipulating model behavior, the landscape is fraught with hidden dangers.Whether you're a developer, data scientist, security professional, or simply someone curious about the future of AI, this book offers:
Actionable insights: Deep dive into the different types of AI vulnerabilities and discover practical methods for mitigation.
Real-world scenarios: Gain practical knowledge through real-world case studies and learn from the triumphs and pitfalls of others.
Future-proofed strategies: Stay ahead of the curve with cutting-edge approaches to AI security, ensuring your applications remain robust in the face of evolving threats.
Empowering knowledge: Build trust and confidence in your AI deployments, fostering ethical and responsible use of this powerful technology.