Backdoor Attacks against Learning-Based Algorithms

Discover the groundbreaking insights in "Backdoor Attacks against Learning-Based Algorithms" by Shaofeng Li, published by Springer International Publishing AG in 2024. This hardback edition spans 153 pages and delves into a novel type of data poisoning attack known as the backdoor attack. As machine learning continues to evolve, understanding these vulnerabilities is crucial for researchers and practitioners alike. Shaofeng Li provides a comprehensive examination of this emerging threat, equipping readers with the knowledge to safeguard their algorithms against potential exploitation. Stay ahead in the field of cybersecurity and enhance your understanding of learning-based systems with this essential read. Perfect for academics and professionals, this book is a valuable addition to your library.