【翻译】Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
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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相关文章
- 1. [S&P 2019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