# An Ontological Knowledge Base of Poisoning Attacks on Deep Neural Networks
## 8 Conclusions and Future Work
The work carried out in this paper is supported by the HPC Center at the King Abdulaziz University. The authors declare no conflict of interest. The following abbreviations are used in this manuscript:  
DNN  
Deep neural networks  
DNNPAO  
DNN Poisoning Attacks Ontology  
NLP  
Natural Language Processing  
SLR  
Systematic Literature Review  
AI  
Artificial Intelligence  
MRQs  
Main Research Questions  
SRQ  
Sub Research Questions  
S1  
Search String 1  
S2  
Search String 2  
S3  
Search String 3  
S4  
Search String 4  
S5  
Search String 5  
S6  
Search String 6  
S7  
Search String 7  
S8  
Search String 8  
S9  
Search String 9  
MLAaS  
Machine Learning as a Service  
NN  
Neural Network  
CIA  
Confidentiality, Integrity, and Availability  
LSB  
Least Significant Bit  
SIN2  
Stealth Infection on Neural Network  
CNN  
Convolutional Neural Network  
RNN  
Recurrent Neural Network  
GAN  
Generative Adversarial network  
DCGAN  
Deep Convolutional GAN  
RL  
Reinforcement Learning  
SNN  
Spiking Neural Network  
DFL  
Deep Federated Learning  
RGB  
Red, Green, and Blue  
IDSs  
Intrusion Detection Systems  
TBT  
Targeted Bit Trojan  
OWL  
Web Ontology Language  
IoT  
Internet of Things  
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