Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Robinette, Preston K., Lopez, Diego Manzanas, Serbinowska, Serena, Leach, Kevin, Johnson, Taylor T. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trigger-Based Fragile Model Watermarking for Image Transformation Networks
by: Robinette, Preston K., et al.
Published: (2024)
by: Robinette, Preston K., et al.
Published: (2024)
Sanitizing Hidden Information with Diffusion Models
by: Robinette, Preston K., et al.
Published: (2023)
by: Robinette, Preston K., et al.
Published: (2023)
Blind Visible Watermark Removal with Morphological Dilation
by: Robinette, Preston K., et al.
Published: (2025)
by: Robinette, Preston K., et al.
Published: (2025)
PBP: Post-training Backdoor Purification for Malware Classifiers
by: Nguyen, Dung Thuy, et al.
Published: (2024)
by: Nguyen, Dung Thuy, et al.
Published: (2024)
Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)
by: S., Saraga, et al.
Published: (2025)
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)
by: Li, Jiliang, et al.
Published: (2024)
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
by: Gibert, Daniel, et al.
Published: (2022)
by: Gibert, Daniel, et al.
Published: (2022)
Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features
by: Johny, Jahez Abraham, et al.
Published: (2024)
by: Johny, Jahez Abraham, et al.
Published: (2024)
Formalizing Stateful Behavior Trees
by: Serbinowska, Serena S., et al.
Published: (2024)
by: Serbinowska, Serena S., et al.
Published: (2024)
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
by: Brosolo, Matteo, et al.
Published: (2025)
by: Brosolo, Matteo, et al.
Published: (2025)
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
by: Higgins, Griffin, et al.
Published: (2026)
by: Higgins, Griffin, et al.
Published: (2026)
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)
by: Giri, Nandakrishna, et al.
Published: (2026)
Packed Malware Detection Using Grayscale Binary-to-Image Representations
by: Alkhateeb, Ehab, et al.
Published: (2025)
by: Alkhateeb, Ehab, et al.
Published: (2025)
LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
by: Nguyen, Dung Thuy, et al.
Published: (2024)
by: Nguyen, Dung Thuy, et al.
Published: (2024)
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Trident: Improving Malware Detection with LLMs and Behavioral Features
by: Saul, Rebecca, et al.
Published: (2026)
by: Saul, Rebecca, et al.
Published: (2026)
Malware Detection based on API Calls: A Reproducibility Study
by: Merilehto, Juhani
Published: (2026)
by: Merilehto, Juhani
Published: (2026)
PotentRegion4MalDetect: Advanced Features from Potential Malicious Regions for Malware Detection
by: Koppanati, Rama Krishna, et al.
Published: (2025)
by: Koppanati, Rama Krishna, et al.
Published: (2025)
Privacy-Aware Framework of Robust Malware Detection in Indoor Robots: Hybrid Quantum Computing and Deep Neural Networks
by: Le, Tan, et al.
Published: (2025)
by: Le, Tan, et al.
Published: (2025)
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)
by: Borah, Parthajit, et al.
Published: (2026)
LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
by: Gill, Naveen, et al.
Published: (2026)
by: Gill, Naveen, et al.
Published: (2026)
Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
by: Abedin, Md Min-Ha-Zul, et al.
Published: (2026)
Assessing Cyclostationary Malware Detection via Feature Selection and Classification
by: Nkongolo, Mike
Published: (2023)
by: Nkongolo, Mike
Published: (2023)
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
by: Choudhary, Aditya, et al.
Published: (2025)
by: Choudhary, Aditya, et al.
Published: (2025)
Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)
by: Fellicious, Christofer, et al.
Published: (2025)
Malware Classification Based on Image Segmentation
by: Nie, Wanhu
Published: (2024)
by: Nie, Wanhu
Published: (2024)
Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020
by: Duarte, Diego Ferreira, et al.
Published: (2026)
by: Duarte, Diego Ferreira, et al.
Published: (2026)
MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
by: Makkawy, Saleh J., et al.
Published: (2025)
by: Makkawy, Saleh J., et al.
Published: (2025)
AndroWasm: an Empirical Study on Android Malware Obfuscation through WebAssembly
by: Soi, Diego, et al.
Published: (2026)
by: Soi, Diego, et al.
Published: (2026)
NeuPerm: Disrupting Malware Hidden in Neural Network Parameters by Leveraging Permutation Symmetry
by: Gilkarov, Daniel, et al.
Published: (2025)
by: Gilkarov, Daniel, et al.
Published: (2025)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)
by: Li, Adrian Shuai, et al.
Published: (2024)
A Human Study of Cognitive Biases in Web Application Security
by: Yang, Yuwei, et al.
Published: (2025)
by: Yang, Yuwei, et al.
Published: (2025)
Demystifying Feature Engineering in Malware Analysis of API Call Sequences
by: Qu, Tianheng, et al.
Published: (2025)
by: Qu, Tianheng, et al.
Published: (2025)
Feature-Centric Approaches to Android Malware Analysis: A Survey
by: Maganur, Shama, et al.
Published: (2025)
by: Maganur, Shama, et al.
Published: (2025)
Deep Learning Models for Detecting Malware Attacks
by: Maniriho, Pascal, et al.
Published: (2022)
by: Maniriho, Pascal, et al.
Published: (2022)
Adversarially Robust and Interpretable Magecart Malware Detection
by: Pereira, Pedro, et al.
Published: (2025)
by: Pereira, Pedro, et al.
Published: (2025)
Hydra: Robust Hardware-Assisted Malware Detection
by: Propp, Eli, et al.
Published: (2026)
by: Propp, Eli, et al.
Published: (2026)
MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation
by: Prapty, Renascence Tarafder, et al.
Published: (2025)
by: Prapty, Renascence Tarafder, et al.
Published: (2025)
Optimal Control of Malware Propagation in IoT Networks
by: Jafar, Mousa Tayseer, et al.
Published: (2024)
by: Jafar, Mousa Tayseer, et al.
Published: (2024)
Similar Items
-
Trigger-Based Fragile Model Watermarking for Image Transformation Networks
by: Robinette, Preston K., et al.
Published: (2024) -
Sanitizing Hidden Information with Diffusion Models
by: Robinette, Preston K., et al.
Published: (2023) -
Blind Visible Watermark Removal with Morphological Dilation
by: Robinette, Preston K., et al.
Published: (2025) -
PBP: Post-training Backdoor Purification for Malware Classifiers
by: Nguyen, Dung Thuy, et al.
Published: (2024) -
Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)