Manipulate 发表于 2025-3-21 16:11:46
书目名称Backdoor Attacks against Learning-Based Algorithms影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0180215<br><br> <br><br>书目名称Backdoor Attacks against Learning-Based Algorithms读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0180215<br><br> <br><br>相互影响 发表于 2025-3-22 00:00:05
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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才能 发表于 2025-3-22 09:19:22
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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 coopexclusice 发表于 2025-3-22 19:46:22
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 craftAdulate 发表于 2025-3-23 00:26:58
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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.