[S&P 2019翻译]Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks

时间 2021-01-02

标签 DNN Backdoor 繁體版

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文章目录 ABSTRACT I. INTRODUCTION II. BACKGROUND: BACKDOOR INJECTION IN DNNS III. OVERVIEW OF OUR APPROACH AGAINST BACKDOORS A. Attack Model B. Defense Assumptions and Goals C. Defense Intuition and Overv

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1. 【翻译】Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
2. [娜璋带你读论文] (02) SP2019-Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
3. [秀璋带你读论文] (02) SP2019-Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
4. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
5. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
6. 【翻译】Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
7. Neural Networks and Deep Learning
8. 论文翻译：2017_Audio super resolution using neural networks
9. （翻译）Understanding Convolutional Neural Networks for NLP
10. Paper：《Graph Neural Networks: A Review of Methods and Applications》翻译与解读
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1. 【翻译】Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
2. [娜璋带你读论文] (02) SP2019-Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
3. [秀璋带你读论文] (02) SP2019-Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
4. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
5. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
6. 【翻译】Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
7. Neural Networks and Deep Learning
8. 论文翻译：2017_Audio super resolution using neural networks
9. （翻译）Understanding Convolutional Neural Networks for NLP
10. Paper：《Graph Neural Networks: A Review of Methods and Applications》翻译与解读

>>更多相关文章<<