Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …

With the ever-increasing malware threats, malware detection plays an indispensable role in
protecting information systems. Although tremendous research efforts have been made …

This study examines the potential of AI-enabled wargames to enhance strategic decision-
making in humanitarian assistance and disaster relief (HADR). We introduce an Adversarial …

A Wolf in Sheep’s Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based
Windows Malware Detection in th Page 1 Institute of Software, Chinese Academy of Sciences A …

The API call sequence based malware detectors have proven to be promising, especially
when incorporated with deep neural networks (DNNs). Several adversarial attack methods …

Malware authors focus on deceiving and evading Anti Malware Engines (AME). Evasion
attacks take in malware samples and modify those samples to by-pass ml based AME …

With rapidly evolving threat landscape surrounding malware, intelligent defenses based on
machine learning are paramount. In this chapter, we review the literature proposed in the …

Ever since the earliest days of the Internet, malware has been a problem for computers.
Since then, this problem's severity has only increased, with important organizations like …

Obfuscation techniques are frequently used in malicious programs to evade detection.
However, current effective methods often require much memory space during training. This …

Ever since the earliest days of the Internet, malware has been a problem for computers.
Since then, this problem's severity has only increased, with important organizations like …