Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning

Zhu et al. "Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43412-9_9

[Zhu et al. "Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/zhu2023ecmlpkdd-minimising/) doi:10.1007/978-3-031-43412-9_9

@inproceedings{zhu2023ecmlpkdd-minimising,
  title     = {{Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning}},
  author    = {Zhu, Zhiyu and Zhang, Jiayu and Jin, Zhibo and Wang, Xinyi and Xue, Minhui and Shen, Jun and Choo, Kim-Kwang Raymond and Chen, Huaming},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {147-163},
  doi       = {10.1007/978-3-031-43412-9_9},
  url       = {https://mlanthology.org/ecmlpkdd/2023/zhu2023ecmlpkdd-minimising/}
}