34 citations · 164 across the 14 of their papers we have counts for
4 papers · 1 filter
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang +5
Machine learning based solutions have been successfully employed for automatic detection of malware on Android. However, machine learning models lack robustness to adversarial exam…
Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones
Rongjunchen Zhang, Xiao Chen, Jianchao Lu +3
Intelligent Personal Assistant (IA), also known as Voice Assistant (VA), has become increasingly popular as a human-computer interaction mechanism. Most smartphones have built-in v…
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps
Tingmin Wu, Lihong Tang, Rongjunchen Zhang +5
Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produ…
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training
Derek Wang, Chaoran Li, Sheng Wen +2
Deep neural networks (DNNs) are known to be vulnerable to adversarial examples which contain human-imperceptible perturbations. A series of defending methods, either proactive defe…