AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning

Cite

Text

Castro et al. "AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021. doi:10.1007/978-3-030-86514-6_3

Markdown

[Castro et al. "AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.](https://mlanthology.org/ecmlpkdd/2021/castro2021ecmlpkdd-aimedrl/) doi:10.1007/978-3-030-86514-6_3

BibTeX

@inproceedings{castro2021ecmlpkdd-aimedrl,
  title     = {{AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning}},
  author    = {Castro, Raphael Labaca and Franz, Sebastian and Rodosek, Gabi Dreo},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2021},
  pages     = {37-52},
  doi       = {10.1007/978-3-030-86514-6_3},
  url       = {https://mlanthology.org/ecmlpkdd/2021/castro2021ecmlpkdd-aimedrl/}
}