Publications (6)
EvilModel 2.0: Bringing Neural Network Models into Malware Attacks
Zhi Wang, Chaoge Liu, Xiang Cui +2
Security issues have gradually emerged with the continuous development of artificial intelligence (AI). Earlier work verified the possibility of converting neural network models in…
Optimal Sampling for Estimation of Fractional Brownian Motion
Xiang Cui, Alexandra Chronopoulou
In this paper, we focus on multiple sampling problems for the estimation of the fractional Brownian motion when the maximum number of samples is limited, extending existing results…
The First Step Towards Modeling Unbreakable Malware
Tiantian Ji, Binxing Fang, Xiang Cui +4
Constructing stealthy malware has gained increasing popularity among cyber attackers to conceal their malicious intent. Nevertheless, the constructed stealthy malware still fails t…
DeepC2: AI-powered Covert Command and Control on OSNs
Zhi Wang, Chaoge Liu, Xiang Cui +4
Command and control (C&C) is important in an attack. It transfers commands from the attacker to the malware in the compromised hosts. Currently, some attackers use online social ne…
Efficient data augmentation for fitting stochastic epidemic models to prevalence data
Jonathan Fintzi, Xiang Cui, Jon Wakefield +1
Stochastic epidemic models describe the dynamics of an epidemic as a disease spreads through a population. Typically, only a fraction of cases are observed at a set of discrete tim…
EvilModel: Hiding Malware Inside of Neural Network Models
Zhi Wang, Chaoge Liu, Xiang Cui
Delivering malware covertly and evasively is critical to advanced malware campaigns. In this paper, we present a new method to covertly and evasively deliver malware through a neur…