[paper]ADVERSARIAL REPROGRAMMING OF NEURAL NETWORKS

时间 2020-12-24

标签 AEs 栏目系统安全繁體版

原文原文链接

传统对抗样本目的是使模型分类错误，本文通过则是使模型执行特定任务（攻击者设定），且该任务可以未被训练过。 We introduce attacks that instead reprogram the target model to perform a task chosen by the attacker—without the attacker needing to specify or co

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1. Neural Bag-of-Ngrams
2. ICLR2014_Intriguing properties of neural networks
3. Applications of Graph Neural Networks
4. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
5. On the Number of Linear Regions of Deep Neural Networks
6. Deeplearning - Overview of Convolution Neural Network
7. DANN：Domain-Adversarial Training of Neural Networks
8. 018 Interpretability of Neural Networks (Lecture 7)
9. CS224W 18.1-Limitations of Graph Neural Network
10. A Neural Algorithm of Artistic Style

>>更多相关文章<<