Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data-Reference-Cited by-同舟云学术

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data

Published:2022 Issue: Volume: Page:367-379
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Zhou Jiahui,Zaidi Nayyar,Zhang Yishuo,Li Gang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-05936-0_29

Reference15 articles.

1. Ballet, V., Renard, X., Aigrain, J., Laugel, T., Frossard, P., Detyniecki, M.: Imperceptible adversarial attacks on tabular data. arXiv preprint arXiv:1911.03274 (2019)

2. Buckman, J., Roy, A., Raffel, C., Goodfellow, I.: Thermometer encoding: one hot way to resist adversarial examples. In: International Conference on Learning Representations (2018)

3. Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014)

4. Kurakin, A., Goodfellow, I., Bengio, S.: Adversarial machine learning at scale. arXiv preprint arXiv:1611.01236 (2016)

5. Madry, A., Makelov, A., Schmidt, L., Tsipras, D., Vladu, A.: Towards deep learning models resistant to adversarial attacks. arXiv preprint arXiv:1706.06083 (2017)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discretization-Based Ensemble Model for Robust Learning in IoT;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Improving neural network’s robustness on tabular data with D-layers;Data Mining and Knowledge Discovery;2023-08-31

3. Rigorous non-disjoint discretization for naive Bayes;Pattern Recognition;2023-08

4. Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets;Advances in Knowledge Discovery and Data Mining;2023