Titlebook: Backdoor Attacks against Learning-Based Algorithms; Shaofeng Li,Haojin Zhu,Xuemin (Sherman) Shen Book 2024 The Editor(s) (if applicable) a

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Handbook of Settings-Based Health Promotionf deep learning (DL). Then, we summarize the motivation and challenges of the existing backdoor attacks in learning-based algorithms. After that, we briefly overview three key issues introduced in this monograph. At last, we present the aims and organization of the monograph.

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Handbook of Settings-Based Health Promotiono its excellent performance in various fields. Due to the strong data dependence, deep neural networks (DNNs) are easily subjected to data poisoning attacks, which undermine the availability and integrity of neural network models. Additionally, the unexplainable nature of deep neural networks increa

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Health Promotion in Sports Settingsbsequently, two types of novel invisible backdoor attacks are introduced, including their underlying principles, detailed procedures, and experimental results. In the first type of attack, image steganography is employed to embed the trigger into the bit space of an image, thereby achieving stealthi

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