activity
20192026
most citedDroidetec: Android Malware Detection and Malicious Code Localization through Deep Learning

47 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic Recomposition

Yani Wang, Yilong Yang, Yang Liu +3

Multimodal Large Language Models (MLLMs) have recently demonstrated remarkable capabilities in content synthesis and autonomous reasoning. Previous safety guardrails are primarily…

cs.CR2023★ 1 cited

NLP-based Cross-Layer 5G Vulnerabilities Detection via Fuzzing Generated Run-Time Profiling

Zhuzhu Wang, Ying Wang

The effectiveness and efficiency of 5G software stack vulnerability and unintended behavior detection are essential for 5G assurance, especially for its applications in critical in…

cs.CR2020★ 6 cited

Cloud-based Federated Boosting for Mobile Crowdsensing

Zhuzhu Wang, Yilong Yang, Yang Liu +3

The application of federated extreme gradient boosting to mobile crowdsensing apps brings several benefits, in particular high performance on efficiency and classification. However…

cs.CR2020★ 47 cited

Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning

Zhuo Ma, Haoran Ge, Zhuzhu Wang +2

Android malware detection is a critical step towards building a security credible system. Especially, manual search for the potential malicious code has plagued program analysts fo…

cs.CR2019★ 8 cited

Revocable Federated Learning: A Benchmark of Federated Forest

Yang Liu, Zhuo Ma, Ximeng Liu +3

A learning federation is composed of multiple participants who use the federated learning technique to collaboratively train a machine learning model without directly revealing the…