MASKDROID: Robust Android Malware Detection with Masked Graph Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Jingnan, Liu, Jiaohao, Zhang, An, Zeng, Jun, Yang, Ziqi, Liang, Zhenkai, Chua, Tat-Seng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)
by: Zeng, Xueying, et al.
Published: (2026)
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)
by: Song, Shiwen, et al.
Published: (2025)
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)
by: Meng, Zhaoyi, et al.
Published: (2024)
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024)
by: Li, Yao, et al.
Published: (2024)
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
by: Sun, Tiezhu, et al.
Published: (2024)
by: Sun, Tiezhu, et al.
Published: (2024)
MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)
by: Meng, Zhaoyi, et al.
Published: (2025)
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
by: Bostani, Hamid, et al.
Published: (2024)
by: Bostani, Hamid, et al.
Published: (2024)
Heimdallr: Characterizing and Detecting LLM-Induced Security Risks in GitHub CI Workflows
by: Ruan, Bonan, et al.
Published: (2026)
by: Ruan, Bonan, et al.
Published: (2026)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)
by: Arifin, Md Mashrur, et al.
Published: (2026)
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)
by: He, Ping, et al.
Published: (2025)
VulZoo: A Comprehensive Vulnerability Intelligence Dataset
by: Ruan, Bonan, et al.
Published: (2024)
by: Ruan, Bonan, et al.
Published: (2024)
KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
by: Ruan, Bonan, et al.
Published: (2024)
by: Ruan, Bonan, et al.
Published: (2024)
Unraveling the Key of Machine Learning-based Android Malware Detection
by: Liu, Jiahao, et al.
Published: (2024)
by: Liu, Jiahao, et al.
Published: (2024)
Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
by: Li, Kevin, et al.
Published: (2024)
by: Li, Kevin, et al.
Published: (2024)
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)
by: Hu, Minghao, et al.
Published: (2025)
When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
by: Zhao, Weibo, et al.
Published: (2025)
by: Zhao, Weibo, et al.
Published: (2025)
Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)
by: Xia, Yifan, et al.
Published: (2023)
Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
by: Ruan, Bonan, et al.
Published: (2025)
by: Ruan, Bonan, et al.
Published: (2025)
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)
by: Xuan, Zhou, et al.
Published: (2026)
MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)
by: Cristea, Eduard Andrei, et al.
Published: (2025)
BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity
by: Zhou, Bolin, et al.
Published: (2025)
by: Zhou, Bolin, et al.
Published: (2025)
Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection
by: Edwards, George, et al.
Published: (2026)
by: Edwards, George, et al.
Published: (2026)
A Study of Malware Prevention in Linux Distributions
by: Vu, Duc-Ly, et al.
Published: (2024)
by: Vu, Duc-Ly, et al.
Published: (2024)
Visualizing Privacy-Relevant Data Flows in Android Applications
by: Khedkar, Mugdha, et al.
Published: (2025)
by: Khedkar, Mugdha, et al.
Published: (2025)
Toward an Android Static Analysis Approach for Data Protection
by: Khedkar, Mugdha, et al.
Published: (2024)
by: Khedkar, Mugdha, et al.
Published: (2024)
Assessing Privacy Compliance of Android Third-Party SDKs
by: Meng, Mark Huasong, et al.
Published: (2024)
by: Meng, Mark Huasong, et al.
Published: (2024)
Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)
by: Alecci, Marco, et al.
Published: (2025)
ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
by: Suo, Dewen, et al.
Published: (2024)
by: Suo, Dewen, et al.
Published: (2024)
Security Evaluation of Android apps in budget African Mobile Devices
by: Diallo, Alioune, et al.
Published: (2025)
by: Diallo, Alioune, et al.
Published: (2025)
APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
by: Yin, Zhenhao, et al.
Published: (2025)
by: Yin, Zhenhao, et al.
Published: (2025)
A Time Series Analysis of Malware Uploads to Programming Language Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)
by: Ruohonen, Jukka, et al.
Published: (2025)
Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
by: Hu, Han, et al.
Published: (2024)
by: Hu, Han, et al.
Published: (2024)
Six Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware
by: He, Hao, et al.
Published: (2024)
by: He, Hao, et al.
Published: (2024)
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
by: Zhang, Ying, et al.
Published: (2024)
by: Zhang, Ying, et al.
Published: (2024)
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026)
by: Huang, Feiyang, et al.
Published: (2026)
How Far are App Secrets from Being Stolen? A Case Study on Android
by: Wei, Lili, et al.
Published: (2025)
by: Wei, Lili, et al.
Published: (2025)
MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
by: Sun, Tiezhu, et al.
Published: (2025)
by: Sun, Tiezhu, et al.
Published: (2025)
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)
by: Pan, Shidong, et al.
Published: (2025)
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)
by: Tan, Kai, et al.
Published: (2025)
Similar Items
-
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026) -
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025) -
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024) -
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024) -
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
by: Sun, Tiezhu, et al.
Published: (2024)