34 citations · 60 across the 5 of their papers we have counts for
5 papers
NatiDroid: Cross-Language Android Permission Specification
Chaoran Li, Xiao Chen, Ruoxi Sun +5
The Android system manages access to sensitive APIs by permission enforcement. An application (app) must declare proper permissions before invoking specific Android APIs. However,…
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Derui, Wang, Chaoran Li +3
Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adversarial examples. In the past few years, many efforts have been spent on exploring query-optimisation attacks…
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
Derui Wang, Chaoran Li, Sheng Wen +4
This paper demonstrates that Non-Maximum Suppression (NMS), which is commonly used in Object Detection (OD) tasks to filter redundant detection results, is no longer secure. Consid…
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…
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…