【翻譯】Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
文章目錄 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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相關文章
- 1. [S&P 2019翻譯]Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
- 2. [娜璋帶你讀論文] (02) SP2019-Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
- 3. [秀璋帶你讀論文] (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. 【翻譯】Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
- 7. Neural Networks and Deep Learning
- 8. 論文翻譯：2017_Audio super resolution using neural networks
- 9. （翻譯）Understanding Convolutional Neural Networks for NLP
- 10. Paper：《Graph Neural Networks: A Review of Methods and Applications》翻譯與解讀