# Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/adversarial-attacks-in-modulation-recognition-with-convolutional-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yun Lin,Haojun Zhao,Xuefei Ma,Ya Tu,Meiyu Wang |
| Citations | 271 |
| DOI | 10.1109/tr.2020.3032744 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3098755434 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yun Lin](https://scholariq.org/researchers/yun-lin/)

## Paper journal

- [IEEE Transactions on Reliability](https://scholariq.org/journals/ieee-transactions-on-reliability/)

## Paper primary topic

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

## Paper topics

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Wireless Signal Modulation Classification](https://scholariq.org/topics/wireless-signal-modulation-classification/)
- [Integrated Circuits and Semiconductor Failure Analysis](https://scholariq.org/topics/integrated-circuits-and-semiconductor-failure-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.