![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"A Deep Reinforcement Learning Framework to Evade Black-Box Machine ..."
Rahat Maqsood Arif et al. (2023)
- Rahat Maqsood Arif
, Muhammad Aslam
, Shaha T. Al-Otaibi
, Ana María Martínez Enríquez, Tanzila Saba, Saeed Ali Bahaj
, Amjad Rehman
:
A Deep Reinforcement Learning Framework to Evade Black-Box Machine Learning Based IoT Malware Detectors Using GAN-Generated Influential Features. IEEE Access 11: 133717-133729 (2023)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.