Cyber-security is the practice of protecting computing systems and networks from digital
attacks, which are a rising concern in the Information Age. With the growing pace at which …

With the growing sophistication of malware, the need to devise improved malware detection
schemes is crucial. The packing of executable files, which is one of the most common …

Identifying the family of malware can determine their malicious intent and attack patterns,
which helps to efficiently analyze large numbers of malware variants. Methods based on …

Abstract 'Deepfakes' are computationally created entities that falsely represent reality. They
can take image, video, and audio modalities, and pose a threat to many areas of systems …

Recent works within machine learning have been tackling inputs of ever increasing size,
with cyber security presenting sequence classification problems of particularly extreme …

In recent years, self-attention has become the dominant paradigm for sequence modeling in
a variety of domains. However, in domains with very long sequence lengths the $\mathcal …

Recently, there has been a significant increase in malware attacks and malicious traffic.
Consequently, several machine learning-based detection models have been developed to …

Cyber security is used to protect and safeguard computers and various networks from ill-
intended digital threats and attacks. It is getting more difficult in the information age due to …

The battle between malware analysts and malware authors is a never-ending challenge with
the advent of complex malware such as polymorphic, metamorphic, and packed malware. A …

Since their proposal in the 2014 paper by Ian Goodfellow, there has been an explosion of
research into the area of Generative Adversarial Networks. While they have been utilised in …