A three-layer back-propagation neural network for spam detection using artificial immune concentration

By Guangchen Ruan, Ying Tan. 2009

67 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bo Li
2. Dawn Song
3. Xinyun Chen
4. Chang Liu
5. Sencun Zhu
6. Cong Liao
7. David J. Miller
8. Anna Cinzia Squicciarini

In Computer Networks and Communications

1. Sencun Zhu
2. Xinyun Chen
3. Dawn Song
4. Bo Li
5. Chang Liu
6. Adrian Perrig
7. Peng Ning
8. Sushil Jajodia

In Information Systems

1. Xinyun Chen
2. Dawn Song
3. Bo Li
4. Anna Cinzia Squicciarini
5. Chang Liu
6. Nicholas Carlini
7. Aloysius Ka-Lau Mok
8. Simon Pak Ho Chung

Citations in the corpus

• Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning (2017, background): “Therefore, deep learning systems have become prevalent in our lives, including security-sensitive applications such as face recognition [55], [62], fingerprint identification [66], spam filtering [64], [56], malware detection [21], [57], and autonomous vehicles [17].”
• Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation (2018, background): “The success of deep learning has led to applications in a number of security-critical areas including malware classification [19] and spam filtering [44], face recognition”