Chinese Spam Filter under Adversarial Impact
Yaqing Zhao, Yan Xu, Xiaodan Zhao
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.562How to use a DOI?
- Anti-spam, Machine Learning, Adversarial Attacks, Adversarial Impact
- Machining learning techniques have achieved great success in anti-spam area. But because of the limitations of these techniques, classifiers derived from them often get attacked by spam senders thus posing a threat to the whole Spam filtering system. This article briefly describes the type of attacks to classifiers and then simulates an attack on a public Chinese spam corpus to analyze the adversarial impact of several major classifiers.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yaqing Zhao AU - Yan Xu AU - Xiaodan Zhao PY - 2015/12 DA - 2015/12 TI - Chinese Spam Filter under Adversarial Impact BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.562 DO - https://doi.org/10.2991/icmmcce-15.2015.562 ID - Zhao2015/12 ER -