標(biāo)題: Titlebook: Backdoor Attacks against Learning-Based Algorithms; Shaofeng Li,Haojin Zhu,Xuemin (Sherman) Shen Book 2024 The Editor(s) (if applicable) a [打印本頁] 作者: Manipulate 時間: 2025-3-21 16:11
書目名稱Backdoor Attacks against Learning-Based Algorithms影響因子(影響力)
書目名稱Backdoor Attacks against Learning-Based Algorithms影響因子(影響力)學(xué)科排名
書目名稱Backdoor Attacks against Learning-Based Algorithms網(wǎng)絡(luò)公開度
書目名稱Backdoor Attacks against Learning-Based Algorithms網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Backdoor Attacks against Learning-Based Algorithms被引頻次
書目名稱Backdoor Attacks against Learning-Based Algorithms被引頻次學(xué)科排名
書目名稱Backdoor Attacks against Learning-Based Algorithms年度引用
書目名稱Backdoor Attacks against Learning-Based Algorithms年度引用學(xué)科排名
書目名稱Backdoor Attacks against Learning-Based Algorithms讀者反饋
書目名稱Backdoor Attacks against Learning-Based Algorithms讀者反饋學(xué)科排名
作者: 相互影響 時間: 2025-3-22 00:00 作者: 合群 時間: 2025-3-22 03:34 作者: 責(zé)難 時間: 2025-3-22 07:46
Hidden Backdoor Attacks in NLP Based Network Services,a language model and may only be activated by specific inputs (called triggers), to trick the model into producing unexpected behaviors. In this chapter, we create covert and natural triggers for textual backdoor attacks, ., where triggers can fool both modern language models and human inspection. W作者: 才能 時間: 2025-3-22 09:19 作者: 故意釣到白楊 時間: 2025-3-22 13:15
Summary and Future Directions,ive of human vision as the research target. A new type of invisible backdoor attack was designed for DNN models in the field of image classification and natural language processing. Lastly, for backdoor attacks in the federated learning system, an analysis was introduced from the perspective of coop作者: exclusice 時間: 2025-3-22 19:46
2366-1186 ible backdoor triggers and natural language processing systeThis book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with craft作者: Adulate 時間: 2025-3-23 00:26 作者: 沒有希望 時間: 2025-3-23 02:29 作者: Hla461 時間: 2025-3-23 07:03
Health Promotion in Sports Settings, which mainly include the success rate of the attack and the availability of the model. At last, we survey related works on backdoor attacks to provide a comprehensive overview of the current literature on the three application areas of deep neural networks mentioned above.作者: peritonitis 時間: 2025-3-23 10:52
Book 2024data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party platforms for training, or directly calling model作者: 教義 時間: 2025-3-23 14:37 作者: visual-cortex 時間: 2025-3-23 18:56 作者: 蓋他為秘密 時間: 2025-3-24 00:16 作者: 用樹皮 時間: 2025-3-24 03:08 作者: deforestation 時間: 2025-3-24 08:01
2366-1186 of backdoor triggers. Based on image similarity measurement, this book presents two metrics to quantitatively measure the invisibility of backdoor triggers. The invisible trigger design scheme introduced in th978-3-031-57391-0978-3-031-57389-7Series ISSN 2366-1186 Series E-ISSN 2366-1445 作者: angina-pectoris 時間: 2025-3-24 12:50
Book 2024onstrates that steganography and regularization can be adopted to enhance the invisibility of backdoor triggers. Based on image similarity measurement, this book presents two metrics to quantitatively measure the invisibility of backdoor triggers. The invisible trigger design scheme introduced in th作者: 滔滔不絕的人 時間: 2025-3-24 15:10 作者: 一致性 時間: 2025-3-24 20:52
Hidden Backdoor Attacks in NLP Based Network Services,hidden backdoors can be effective across three downstream security-critical NLP tasks, representative of modern human-centric NLP systems, including toxic comment detection, neural machine translation (NMT), and question answering (QA).作者: Maximize 時間: 2025-3-25 00:40 作者: 蛙鳴聲 時間: 2025-3-25 04:11
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.作者: 外觀 時間: 2025-3-25 07:36 作者: Project 時間: 2025-3-25 13:09 作者: 倒轉(zhuǎn) 時間: 2025-3-25 18:27
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作者: 貧困 時間: 2025-3-25 23:55 作者: Hyaluronic-Acid 時間: 2025-3-26 01:17
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作者: inveigh 時間: 2025-3-26 06:52 作者: 容易做 時間: 2025-3-26 10:55 作者: 翻布尋找 時間: 2025-3-26 13:02 作者: Homocystinuria 時間: 2025-3-26 18:47 作者: 名義上 時間: 2025-3-26 21:37 作者: 真實的人 時間: 2025-3-27 02:43
Shaofeng Li,Haojin Zhu,Xuemin (Sherman) ShenThorough review of backdoor attacks and their potential mitigations in learning-based algorithms.Focus on challenges such as design of invisible backdoor triggers and natural language processing syste作者: 蝕刻 時間: 2025-3-27 07:59 作者: Ablation 時間: 2025-3-27 12:30
Backdoor Attacks against Learning-Based Algorithms978-3-031-57389-7Series ISSN 2366-1186 Series E-ISSN 2366-1445 作者: 催眠 時間: 2025-3-27 14:57
Weak States and Great Power Grand Strategy, powers use the same strategy of vote buying as described in chapter 5, we can expect a significant change in great power grand strategy regarding weak states—from security and balancing, using alliances, to economic development and the game of Go. This chapter will describe the People’s Republic of作者: Affluence 時間: 2025-3-27 18:12 作者: 強壯 時間: 2025-3-28 00:07 作者: 飛來飛去真休 時間: 2025-3-28 02:32
https://doi.org/10.1007/978-3-642-92523-8ects of informal control modes on developer performance. Our findings show that while intrinsic motivation plays an important role in mediating both informal control modes’ effects, clan control exhibits predominantly stronger downstream effects than self-control. Implications for research and practice are discussed.
