Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

In this paper, we present a comprehensive review of recent developments in the application
of machine learning algorithms to Spam filtering, focusing on both textual-and image-based …

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Recently, NLP has seen a surge in the usage of large pre-trained models. Users download
weights of models pre-trained on large datasets, then fine-tune the weights on a task of their …

Textual backdoor attacks are a kind of practical threat to NLP systems. By injecting a
backdoor in the training phase, the adversary could control model predictions via predefined …

\textbf {P} re-\textbf {T} rained\textbf {M} odel\textbf {s} have been widely applied and recently
proved vulnerable under backdoor attacks: the released pre-trained weights can be …

Pre-trained general-purpose language models have been a dominating component in
enabling real-world natural language processing (NLP) applications. However, a pre-trained …

The huge training overhead, considerable commercial value, and various potential security
risks make it urgent to protect the intellectual property (IP) of Deep Neural Networks (DNNs) …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …