19 citations · 95 across the 31 of their papers we have counts for
6 papers · 1 filter
Statically Detecting Adversarial Malware through Randomised Chaining
Matthew Crawford, Wei Wang, Ruoxi Sun +1
With the rapid growth of malware attacks, more antivirus developers consider deploying machine learning technologies into their productions. Researchers and developers published va…
Dissecting Malware in the Wild
Hamish Spencer, Wei Wang, Ruoxi Sun +1
With the increasingly rapid development of new malicious computer software by bad faith actors, both commercial and research-oriented antivirus detectors have come to make greater…
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,…
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors
Ruoxi Sun, Minhui Xue, Gareth Tyson +6
Numerous open-source and commercial malware detectors are available. However, their efficacy is threatened by new adversarial attacks, whereby malware attempts to evade detection,…
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Zihan Wang, Olivia Byrnes, Hu Wang +5
The advancement of secure communication and identity verification fields has significantly increased through the use of deep learning techniques for data hiding. By embedding infor…
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu +5
The proliferation of Internet of Things (IoT) devices has made people's lives more convenient, but it has also raised many security concerns. Due to the difficulty of obtaining and…