most citedDroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection

84 citations · 94 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 10 cited

Competitive Physics Informed Networks

Qi Zeng, Yash Kothari, Spencer H. Bryngelson +1

Neural networks can be trained to solve partial differential equations (PDEs) by using the PDE residual as the loss function. This strategy is called "physics-informed neural netwo…

cs.CR2022★ 84 cited

DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection

Yinwei Wu, Meijin Li, Junfeng Wang +4

Due to the completely open-source nature of Android, the exploitable vulnerability of malware attacks is increasing. Machine learning, leading to a great evolution in Android malwa…