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Structural Attack against Graph Based Android Malware Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-3-030-00470-5_23openalex-snapshot
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
inferredcites →https://doi.org/10.1007/978-3-030-01701-9_10openalex-snapshot
Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
inferredcites →https://doi.org/10.1007/978-3-319-24177-7_15openalex-snapshot
DexHunter: Toward Extracting Hidden Code from Packed Android Applications
inferredcites →https://doi.org/10.1007/978-3-319-66399-9_4openalex-snapshot
Adversarial Examples for Malware Detection
inferredcites →https://doi.org/10.1007/bf02289026openalex-snapshot
A New Status Index Derived from Sociometric Analysis
inferredcites →https://doi.org/10.1016/0378-8733(78)90021-7openalex-snapshot
Centrality in social networks conceptual clarification
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50043-xopenalex-snapshot
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
inferredcites →https://doi.org/10.1016/j.cose.2019.101663openalex-snapshot
DL-Droid: Deep learning based android malware detection using real devices
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.054openalex-snapshot
Learning features from enhanced function call graphs for Android malware detection
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1109/4235.771163openalex-snapshot
Evolutionary programming made faster
inferredcites →https://doi.org/10.1109/ai4mobile.2019.8672711openalex-snapshot
Adversarial Attacks on Mobile Malware Detection
inferredcites →https://doi.org/10.1109/ase.2019.00023openalex-snapshot
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis
inferredcites →https://doi.org/10.1109/icassp.1998.674402openalex-snapshot
Using Markov decision process for learning dialogue strategies
inferredcites →https://doi.org/10.1109/icse.2019.00085openalex-snapshot
Graph Embedding Based Familial Analysis of Android Malware using Unsupervised Learning
inferredcites →https://doi.org/10.1109/icse43902.2021.00150openalex-snapshot
ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications
inferredcites →https://doi.org/10.1109/isea-isap49340.2020.235015openalex-snapshot
Graph Convolutional Networks for Android Malware Detection with System Call Graphs
inferredcites →https://doi.org/10.1109/sp40000.2020.00073openalex-snapshot
Intriguing Properties of Adversarial ML Attacks in the Problem Space
inferredcites →https://doi.org/10.1109/sp40001.2021.00105openalex-snapshot
Happer: Unpacking Android Apps via a Hardware-Assisted Approach
inferredcites →https://doi.org/10.1109/spw.2019.00014openalex-snapshot
On the Robustness of Deep K-Nearest Neighbors
inferredcites →https://doi.org/10.1109/tifs.2018.2866319openalex-snapshot
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features
inferredcites →https://doi.org/10.1109/tifs.2019.2932228openalex-snapshot
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
inferredcites →https://doi.org/10.1109/tifs.2020.3003571openalex-snapshot
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
inferredcites →https://doi.org/10.1109/tii.2017.2789219openalex-snapshot
Significant Permission Identification for Machine-Learning-Based Android Malware Detection
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tse.2017.2730198openalex-snapshot
Enhancing the Description-to-Behavior Fidelity in Android Apps with Privacy Policy
inferredcites →https://doi.org/10.1109/tse.2020.2996433openalex-snapshot
PackerGrind: An Adaptive Unpacking System for Android Apps
inferredcites →https://doi.org/10.1145/2568225.2568286openalex-snapshot
Achieving accuracy and scalability simultaneously in detecting application clones on Android markets
inferredcites →https://doi.org/10.1145/3319535.3354206openalex-snapshot
Attacking Graph-based Classification via Manipulating the Graph Structure
inferredcites →https://doi.org/10.1145/3324884.3416582openalex-snapshot
Automated third-party library detection for Android applications
inferredcites →https://doi.org/10.1145/3324884.3416642openalex-snapshot
UI obfuscation and its effects on automated UI analysis for Android apps
inferredcites →https://doi.org/10.1145/3357384.3357875openalex-snapshot
αCyber : Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model
inferredcites →https://doi.org/10.1145/3372297.3417291openalex-snapshot
Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware
inferredcites →https://doi.org/10.1145/3372297.3423341openalex-snapshot
VAHunt: Warding Off New Repackaged Android Malware in App-Virtualization's Clothing
inferredcites →https://doi.org/10.1145/3450569.3463560openalex-snapshot
Backdoor Attacks to Graph Neural Networks
inferredcites →https://doi.org/10.1145/3460319.3464839openalex-snapshot
Parema: an unpacking framework for demystifying VM-based Android packers
inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-snapshot
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
inferredcites →https://doi.org/10.24963/ijcai.2019/576openalex-snapshot
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
inferredcites →https://doi.org/10.26083/tuprints-00005937openalex-snapshot
Static Data Flow Analysis for Android Applications
inferredcites →https://doi.org/10.48550/arxiv.1312.5602openalex-snapshot
Playing Atari with Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1806.02371openalex-snapshot
Adversarial Attack on Graph Structured Data
inferredcites →https://doi.org/10.48550/arxiv.1905.12386openalex-snapshot
Misleading Authorship Attribution of Source Code using Adversarial Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.13073openalex-snapshot
Robust Collective Classification against Structural Attacks
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-65175-5_20openalex-snapshot
A Structural-Semantic Approach Integrating Graph-Based and Large Language Models Representation to Detect Android Malware
inferred← citeshttps://doi.org/10.1007/978-3-031-99447-0_7openalex-snapshot
No More Paper Tigers: A Taxonomy of Realistic Adversarial Attacks on Machine Learning Based Malware Detection
inferred← citeshttps://doi.org/10.1007/s11432-021-3567-yopenalex-snapshot
Framework for understanding intention-unbreakable malware
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110845openalex-snapshot
Evaluating the robustness of adversarial defenses in malware detection systems
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103807openalex-snapshot
GSEDroid: GNN-based Android malware detection framework using lightweight semantic embedding
inferred← citeshttps://doi.org/10.1016/j.cose.2024.104262openalex-snapshot
MPDroid: A multimodal pre-training Android malware detection method with static and dynamic features
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124095openalex-snapshot
KFFPDet: Android malicious application detection system with assisted detection of adversarial samples
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102662openalex-snapshot
Detecting Android malware: A multimodal fusion method with fine-grained feature
inferred← citeshttps://doi.org/10.1080/23742917.2025.2545641openalex-snapshot
ARM: Adaptive Rank-Based Mutation for Android Malware Detection under Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/access.2024.3513713openalex-snapshot
An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00074openalex-snapshot
Enhancing Malware Detection for Android Apps: Detecting Fine-Granularity Malicious Components
inferred← citeshttps://doi.org/10.1109/icbctis64495.2024.00029openalex-snapshot
Adversarial Detection of Android Malicious Applications Based on Feature Decentralization
inferred← citeshttps://doi.org/10.1109/icftic64248.2024.10912979openalex-snapshot
Distributionally Robust Deep Neural Network for Malicious App Software Dynamic Detection
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00137openalex-snapshot
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps
inferred← citeshttps://doi.org/10.1109/jproc.2024.3369017openalex-snapshot
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
inferred← citeshttps://doi.org/10.1109/mce.2024.3482700openalex-snapshot
An Adversarial Attack on Artificial Intelligence Malware Detection in Consumer Internet of Things
inferred← citeshttps://doi.org/10.1109/msn57253.2022.00071openalex-snapshot
Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network
inferred← citeshttps://doi.org/10.1109/saner56733.2023.00065openalex-snapshot
RGDroid: Detecting Android Malware with Graph Convolutional Networks against Structural Attacks
inferred← citeshttps://doi.org/10.1109/tcad.2024.3444712openalex-snapshot
TPE-Det: A Tamper-Proof External Detector via Hardware Traces Analysis Against IoT Malware
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3265665openalex-snapshot
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3639708openalex-snapshot
LibPass: An Entropy-Guided Black-Box Adversarial Attack Against Third-Party Library Detection Tools in the Wild
inferred← citeshttps://doi.org/10.1109/tifs.2023.3302509openalex-snapshot
Obfuscation-Resilient Android Malware Analysis Based on Complementary Features
inferred← citeshttps://doi.org/10.1109/tifs.2024.3364366openalex-snapshot
Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks
inferred← citeshttps://doi.org/10.1109/tifs.2024.3468891openalex-snapshot
Sensitive Behavioral Chain-Focused Android Malware Detection Fused With AST Semantics
inferred← citeshttps://doi.org/10.1109/tifs.2025.3602243openalex-snapshot
Robust Graph Contrastive Learning With Information Restoration
inferred← citeshttps://doi.org/10.1109/tifs.2025.3607270openalex-snapshot
An Efficient Adversarial Attack on FCG-Based Android Malware Detection Systems
inferred← citeshttps://doi.org/10.1109/tifs.2025.3639962openalex-snapshot
Interpretable Defense Against Structural Adversarial Attacks on Android Malware Detection
inferred← citeshttps://doi.org/10.1109/tifs.2025.3641816openalex-snapshot
Revisiting Adversarial Robustness of GNNs Against Structural Attacks: A Simple and Fast Approach
inferred← citeshttps://doi.org/10.1109/tifs.2026.3729519openalex-snapshot
Defending Against Adversarial Malware Attacks on ML-Based Android Malware Detection Methods
inferred← citeshttps://doi.org/10.1109/tkde.2022.3201243openalex-snapshot
Adversarial Attack and Defense on Graph Data: A Survey
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00108openalex-snapshot
Prototype-Integrated Representation Learning for Novelty Detection
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00265openalex-snapshot
Incorporating Statistic and Semantic Dependencies for Enhancing the Robustness of Android Malware Detection
inferred← citeshttps://doi.org/10.1109/tse.2022.3215628openalex-snapshot
Scalably Detecting Third-Party Android Libraries With Two-Stage Bloom Filtering
inferred← citeshttps://doi.org/10.1109/tse.2025.3626788openalex-snapshot
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
inferred← citeshttps://doi.org/10.1109/wcnc65185.2026.11555575openalex-snapshot
ASTDroid: Abstract Syntax Trees Enhanced GNNs for Android Malware Detection
inferred← citeshttps://doi.org/10.1145/3544968openalex-snapshot
Deep Learning for Android Malware Defenses: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3576915.3623117openalex-snapshot
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
inferred← citeshttps://doi.org/10.1145/3576915.3623130openalex-snapshot
"Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences
inferred← citeshttps://doi.org/10.1145/3580305.3599289openalex-snapshot
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation
inferred← citeshttps://doi.org/10.1145/3597503.3623320openalex-snapshot
A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
inferred← citeshttps://doi.org/10.1145/3605775openalex-snapshot
Deep Learning for Zero-day Malware Detection and Classification: A Survey
inferred← citeshttps://doi.org/10.1145/3664649openalex-snapshot
A Survey on Malware Detection with Graph Representation Learning
inferred← citeshttps://doi.org/10.1145/3691620.3695008openalex-snapshot
MaskDroid: Robust Android Malware Detection with Masked Graph Representations
inferred← citeshttps://doi.org/10.1145/3717607openalex-snapshot
Adversarial Patterns: Building Robust Android Malware Classifiers
inferred← citeshttps://doi.org/10.1145/3734436.3734451openalex-snapshot
SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs
inferred← citeshttps://doi.org/10.1145/3748522.3779797openalex-snapshot
ALARM: An Adaptive Android Malware Detection Framework with Leiden-based Clustering and Mixture-of-Experts Classification
inferred← citeshttps://doi.org/10.1145/3793655.3793721openalex-snapshot
PIChecker: Automatic Privacy Detector for Third Party Libraries in Android Apps
inferred← citeshttps://doi.org/10.1145/3809491openalex-snapshot
Unraveling the Key of Machine Learning-based Android Malware Detection
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.700openalex-snapshot
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification
inferred← citeshttps://doi.org/10.32388/v8qvhaopenalex-snapshot
Top Ten Challenges Towards Agentic Neural Graph Databases
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Next-Generation Technologies for Secure Future Communication-Based Social-Media 3.0 and Smart Environment
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