Today's cyber attacks have become more severe and frequent, which calls for a new line of
security defenses to protect against them. The dynamic nature of new-generation threats …

Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …

The constantly increasing number of disclosed security vulnerabilities have become an
important concern in the software industry and in the field of cybersecurity, suggesting that …

Driven by the increasing scale and high profile cybersecurity incidents related public data,
recent years we have witnessed a paradigm shift in understanding and defending against …

Recent results suggest that attacks against supervised machine learning systems are quite
effective, while defenses are easily bypassed by new attacks. However, the specifications for …

To adapt to the rapidly evolving landscape of cyber threats, security professionals are
actively exchanging Indicators of Compromise (IOC)(eg, malware signatures, botnet IPs) …

Software ecosystems play an important role in modern software development, providing an
open platform of reusable packages that speed up and facilitate development tasks …

Security metrics have received significant attention. However, they have not been
systematically explored based on the understanding of attack-defense interactions, which …

With the increased complexity of modern computer attacks, there is a need for defenders not
only to detect malicious activity as it happens, but also to predict the specific steps that will …

Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …